Han Liang, Ph.D.
Department of Bioinformatics and Computational Biology, Division of Discovery Science
About Dr. Han Liang
Dr. Han Liang is the Barnhart Family Distinguished Professor in Targeted Therapies and Interim Chair of the Department of Bioinformatics and Computational Biology at The University of Texas MD Anderson Cancer Center, with a joint appointment in Systems Biology. He received his B.S. in Chemistry from Peking University, Ph.D. in Quantitative and Computational Biology from Princeton University, and completed postdoctoral training in evolutionary and computational genomics at the University of Chicago before joining MD Anderson in 2009.
Dr. Liang’s research focuses on bioinformatics tool development, integrative cancer genomics, RNA regulation and modification, and cancer systems biology. His group has created widely used computational platforms—including TCPA, TANRIC, FASMIC, and DrBioRight—with more than 200,000 active users worldwide. He has published over 220 peer-reviewed papers, cited more than 60,000 times, with corresponding-author work appearing in Cell, Cancer Cell, Nature Genetics, Nature Biotechnology, Nature Cancer, and Nature Methods.
He has held leadership roles in major international consortia, including Chair of the TCGA PanCanAtlas working groups, Co-leader of the ICGC Pan-Cancer Whole Genome Analysis Project, and Co-chair of the NCI Genomic Data Commons QC working group. His contributions have been recognized with numerous awards, including the AACR Team Science Award (2020), MD Anderson R. Lee Clark Prize (2023), and the AACR Outstanding Achievement Award in Basic Cancer Research (2025). Dr. Liang is an elected Fellow of the AAAS and the AIMBE.
More information is available at http://odin.mdacc.tmc.edu/~hliang1/.
Present Title & Affiliation
Primary Appointment
Endowed Distinguished Professor Barnhart Family Distinguished Professor in Targeted Therapies, Department of Bioinformatics and Computational Biology, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX
Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Professor (Joint appointment), Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Deputy Department Chair, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Faculty Member, Baylor College of Medicine, Houston, TX
Regular Member (Joint appointment), The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX
Dual/Joint/Adjunct Appointment
Barnhart Family Distinguished Professor in Targeted Therapies, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Faculty member, F1000 Prime, Houston, TX
Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Professor, Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX
Faculty Member, Baylor College of Medicine, Houston, TX
Regular Member, The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX
Education & Training
Postgraduate Training
| 2006-2009 | Postgraduate Fellow, Evolutionary Genomics, The University of Chicago, Chicago, IL |
Experience & Service
Faculty Academic Appointments
Associate Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 2014 - 2018
Associate Professor, Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 2014 - 2018
Assistant Professor, Department of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, 2009 - 2014
Postdoctoral Research Scholar, Department of Ecology and Evolution, The University of Chicago, Chicago, IL, 2006 - 2009
Administrative Appointments/Responsibilities
Department Chair, Ad Interim, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas, 2025 - Present
Committee Chair, Department of Bioinformatics and Computational Biology, Faculty Recruitment Search Committee, Houston, 2018 - Present
Deputy Department Chair, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 2015 - 2025
Committee Chair, Department of Bioinformatics and Computational Biology, Departmental External Speaker Seminar Series, Houston, TX, 2013 - Present
Faculty Senate Representative, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, 2011 - 2012
Committee Chair, Department of Bioinformatics and Computational Biology, Departmental Postdoctoral Fellow Search Committee, Houston, TX, 2010 - Present
Other Professional Positions
Steering Committee Member, NLM Biomedical Informatics Training grant, Houston, TX, 2019 - Present
Scientific Advisor, Eagle Nebula Inc, Princeton, NJ, 2017 - 2019
Scientific Advisor, Precision Scientific (Beijing) Ltd, Beijing, China, 2017 - Present
Consultant, INFOTECH Soft Inc, Miami, Florida, 2016 - 2017
Senior Advisor, International Cancer Advocacy Network, USA, 2015 - Present
Senior Advisor, International Cancer Advocacy Network, N/A, 2015
Bioinformatic Intern, Rosetta Inpharmatics (Merck), Seattle, WA, 2004 - 2004
Extramural Institutional Committee Activities
Member, Data Science Faculty Recruitment Committee, The University of Texas MD Anderson Cancer Center, 2023 - Present
Member, TMP T32 Curriculum Committee, The University of Texas MD Anderson Cancer Center, 2022 - Present
Member, Promotion and Tenure Committee, The University of Texas MD Anderson Cancer Center, 2022 - Present
Member, Core Facility Oversee Committee, The University of Texas MD Anderson Cancer Center, 2020 - 2021
Committee Chair, DBCB Departmental Faculty Search Committee, The University of Texas MD Anderson Cancer Center, 2018 - Present
Review Committee Chair, Faculty Mid-term evaluation Committee (Yiwen Chen), The University of Texas MD Anderson Cancer Center, 2018
Reviewer, Review Committee for the NCI R25T Postdoctoral Fellowship in Cancer Prevention, The University of Texas MD Anderson Cancer Center, 2016 - Present
Member, Institutional Bridge Fund Advisory Committee, The University of Texas MD Anderson Cancer Center, 2016 - Present
Committee Member, Faculty Mid-term Review Committee (Drs. Yang L and Lin C), The University of Texas MD Anderson Cancer Center, 2016 - Present
Reviewer, CPRIT High-risk High rewarding LOI Selection Committee, The University of Texas MD Anderson Cancer Center, 2015 - Present
Reviewer, INTEREST Review Panel, The University of Texas MD Anderson Cancer Center, 2015 - Present
Committee Chair, DBCB External Seminar Series, The University of Texas MD Anderson Cancer Center, 2013 - Present
Reviewer for the City Federation of Women’s Clubs Endowed Scholarship in the Biomedical Sciences, UT GSBS Award Committee, The University of Texas MD Anderson Cancer Center, 2011
Internal Reviewer, RNA Center-Laura and John Arnold Foundation Award Proposal, The University of Texas MD Anderson Cancer Center, 2011
Internal reviewer, The Technology Review Committee, The University of Texas MD Anderson Cancer Center, 2010
Editorial Activities
Editorial Board Member, Cancer Cell, 2020 - Present
Editorial Board Member, The Innovation, 2020 - Present
Editorial Board Member, Genome Biology, 2019 - Present
Editorial Broad Member, Scientific Reports, 2015 - 2019
Honors & Awards
| 2025 - Present | AACR Award for Outstanding Achievement in Basic Cancer Research, American Association for Cancer Research |
| 2024 | AIMBE Fellow, American Institute for Medical and Biological Engineering |
| 2023 | R. Lee Clark Prize, The University of Texas MD Anderson Cancer Center |
| 2022 | Odyssey Fellowship Outstanding Research Publication Award, The University of Texas MD Anderson Cancer Center |
| 2020 - 2024 | AAAS Fellow, American Association for the Advancement of Science |
| 2020 | AACR Team Science Award, American Association for Cancer Research |
| 2018 - 2021 | Faculty Scholar Award, The University of Texas MD Anderson Cancer Center |
| 2018 | Nominee: Robert M. Chamberlain Distinguished Mentor Award, The University of Texas MD Anderson Cancer Center |
| 2017 | MD Anderson Publications Gallery, The University of Texas MD Anderson Cancer Center |
| 2016 - 2023 | "Wall of Science" Publication Gallery, The University of Texas MD Anderson Cancer Center |
| 2016 | Institutional Nominee for the Blavatnik Award |
| 2015 - 2018 | STARS Award, The University of Texas System |
| 2015 | Nomination Certificate for the Robert M. Chamberlain Distinguished Mentor Award, The University of Texas MD Anderson Cancer Center |
| 2014 - 2016 | R. Lee Clark Fellow Award (junior faculty), The University of Texas MD Anderson Cancer Center |
| 2012 - 2014 | Uterine SPORE Career Development Award, NIH/NCI |
| 2011 | Institutional Nominee for Mary Kay Research Fund |
| 2008 | SMBE Travel Award, SMBE Society |
| 2007 | "From Bench to Bedside" Poster Contest Finalist, The University of Chicago |
| 2007 | RNA Conference Travel Fellowship, RNA Society |
| 2006 | Branco Weiss Fellowship Shortlist, Society in Science, Zurich |
| 2005 | Association of Princeton Graduate Alumnae Travel Fellowship, Princeton University |
| 2001 | Best Senior Thesis Award, Peking University, China |
| 2000 | Outstanding Student Award, Peking University, China |
| 2000 | Winner in China National Collegiate Scientific Entrepreneurial Project Competition |
| 1998 | Dupont Fellowship, Peking University, China |
Professional Memberships
Selected Presentations & Talks
Local Presentations
- 2024. Bioinformatics Analysis in the AI Era: Making Complexity as Easy as Conversation, The Data Science Forum,. Invited. The Data Science Forum. Houston, Texas, US.
- 2023. Analyze cancer genomics data through an AI-driven chatbot. Invited. Dr. John J. Kopchick Research Symposium 2023. Houston, Texas, US.
- 2023. AI, Big Data, and Cancer Medicine. Invited. QCB seminar Research Talk. Houston, TX, US.
- 2022. Artificial Intelligence, Big Data and Cancer Systems. Invited. CNRCS Seminar Series. Houston, TX, US.
- 2022. Artificial intelligence, big data, and cancer systems. Invited. 18th Annual Dan L Duncan Comprehensive Cancer Center Symposium “Technology and Data Innovations for a Cure. Houston, TX, US.
- 2022. Fill the gap between big data and precision cancer medicine. Invited. T32 TGPM Community Forum. Houston, Texas, US.
- 2021. Fill the gap between big data and precision cancer medicine. Invited. Fill the gap between big data and precision cancer medicine. Houston, US.
- 2020. Large-scale characterization of drug responses of clinically relevant proteins in cancer cell lines. Invited. Large-scale characterization of drug responses of clinically relevant proteins in cancer cell lines. Houston, TX, US.
- 2020. How AI helps address the challenge of big cancer genomic data?. Invited. How AI helps address the challenge of big cancer genomic data?. HOUSTON, TX, US.
- 2019. How AI helps address the challenge of big cancer genomic data?. Invited. 2019 Symposia on Cancer Research (Leading Edge in Cancer Research). Houston, TX, US.
- 2018. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Houston, TX, US.
- 2018. Maximize the Unity of Big Cancer Genomic Data. Invited. Houston, TX, US.
- 2017. The role of A-to-I RNA editing in caner development. Invited. Houston, TX, US.
- 2017. Maximize the utility of TCGA data: Tools, Analysis and Discovery. Invited. Houston, TX, US.
- 2017. The role of RNA editing in noncoding RNAs in cancer. Invited. The role of RNA editing in noncoding RNAs in cancer. Houston, TX, US.
- 2017. The role of A-to-I RNA editing in human cancer. Invited. Houston, TX, US.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Houston, US.
- 2016. The Role of RNA Editing in Cancer. Invited. Houston, TX, US.
- 2016. Maximizing the Utility of TCGA Data. Invited. Houston, TX, US.
- 2015. How to Maximize the Utility of Big Data?. Invited. SCBA-TX Club Seminars. Houston, TX, US.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Houston, TX, US.
- 2013. Dissecting the clinical utility of cancer genomic data across tumor types. Invited. Systems Biology weekly seminar. Houston, TX, US.
- 2013. Pseudogene Expression Defines Biologically and Clinically Relevant Cancer Subtypes. Poster. Symposia on Cancer Research 2013. Houston, TX, US.
- 2013. Gene co-expression network analysis reveals common system-level properties of prognostic genes across cancer types. Poster. Symposia on Cancer Research 2013. Houston, TX, US.
- 2013. Dissecting the clinical prognostic and predictive utility of cancer genomic data across tumor types. Poster. Symposia on Cancer Research 2013. Houston, TX, US.
- 2013. TCPA: A Resource for Cancer Functional Proteomics Data. Poster. Symposia on Cancer Research 2013. Houston, TX, US.
- 2013. From Complete Catalogs to "Actionable" Shortlists: Integrative Analysis of Next-generation Sequencing Data in Cancer Research. Invited. GCC Keck Seminar Series. Houston, TX, US.
- 2012. On the Evolution of Somatic Copy-number Alteration Breakpoint Hotspots in Human Cancer. Poster. International Conference on Stochastic Processes in Systems Biology. Houston, TX, US.
- 2012. Predicting the Lethal Phenotype of the Knockout Mouse by Integrating Comprehensive Genomic Data. Poster. Keck Annual Research Conference. Houston, TX, US.
- 2012. Predicting the Lethal Phenotype of the Knockout Mouse by Integrating Comprehensive Genomic Data. Poster. Houston, TX, US.
- 2012. SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data. Poster. MD Anderson Trainee Research Day 2012. Houston, TX, US.
- 2009. Bioinformatics Analysis and Computational Challenges of Next-Generation Sequencing, Making Cancer History. Invited. Houston, TX, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Houston, TX, US.
Regional Presentations
- 2022. How does AI help address the challenges of big omic data?. Invited. How does AI help address the challenges of big omic data?, US.
- 2018. Maximize the Utility of Cancer Genomic Data. Invited. “Bioinformatics &Cancer” Symposium. College Station, TX, US.
National Presentations
- 2024. The m6A AWG summary. Invited. NCI GDAN F2F meeting. Houston, TX, US.
- 2024. Systematic Characterization and Targeting of Neomorphic Drivers in Cancer. Invited. NCI CTD2 Network F2F Meeting. San Francisco, CA, US.
- 2024. AI, Big data and Cancer Medicine. Invited. Center for Computational Biology and Bioinformatics (CCBB) seminar. Indianapolis, IN, US.
- 2024. Navigating the Complexities of Cancer Immunotherapy: New Insights and Innovations. Invited. Brown Center for Immunotherapy. Indianapolis, IN, US.
- 2024. The Cancer Proteome Atlas: A Comprehensive Bioinformatics Resource for Functional Cancer Proteomic Data. Invited. NCI Webniar. Virtual, US.
- 2024. Bioinformatics Analysis in the AI Era: Making Complexity as Easy as Conversation. Invited. IDSO Fellowship Program. Houston, TX, US.
- 2024. AI and Big data: A paradigm shift in translational research. Invited. National Conference on Molecular Diagnosis of Gynecologic Oncology. Zoom, US.
- 2024. How To Fill the Gap Between Big Cancer Data and Precision Medicine. Invited. Quantitative Science Grand Rounds,. Tampa, FL, US.
- 2024. Bioinformatics Analysis in the AI Era: Making Complexity as Easy as Conversation. Invited. Research Townhall on “Computational Biology”. Houston, TX, US.
- 2024. How to fill the gap between big omics data and precision cancer medicine. Invited. Epigenetics Consortium Seminar Series. Minneapolis, MN, US.
- 2023. The Cancer Proteome Atlas: A Comprehensive Bioinformatics Resource for Functional Cancer Proteomic Data. Invited. NCI Webniar. Virtual, US.
- 2023. Empower The Cancer Proteome Atlas with An AI-driven Chatbot. Invited. 2023 ITCR Annual meeting. Chicago, IL, US.
- 2023. Introduction to The Cancer Proteome Atlas. Invited. NCI Webniar. Virtual, US.
- 2023. Fill the gap between big cancer data and precision cancer medicine. Invited. New York, NC, US.
- 2022. An expanded protein expression atlas of human cancers. Invited. 2022 ITCR Annual meeting. Saint Louis, MO, US.
- 2021. Artificial Intelligence, Big Data and Cancer Systems. Invited. Virtual, US.
- 2021. Comprehensive assessment of computational algorithms in predicting cancer driver mutations. Invited. NCI Webniar. Virtual, US.
- 2021. Artificial Intelligence, Big Data and Cancer Systems. Invited. AstraZeneca. Virtual, US.
- 2021. How AI helps address the challenge of big cancer genomic data?. Invited. Virtual, US.
- 2021. Artificial Intelligence, Big Data and Cancer Systems. Invited. Virtual, US.
- 2020. How AI helps address the challenge of big cancer genomic data?. Invited. Jacksonville, FL, US.
- 2020. How AI helps address the challenge of big cancer genomic data?. Invited. Center for Applied Bioinformatics. Virtual, TN, US.
- 2019. How AI helps address the challenge of big cancer genomic data?. Invited. 2019 Symposia on Cancer Research. Houston, TX, US.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Institute for Biomedical Informatics. Philadelphia, PA, US.
- 2019. The Cancer Proteome Atlas: A Comprehensive Bioinformatics Resource for Functional Cancer Proteomic Data. Invited. Virtual, US.
- 2019. Systematic Identification of Cancer Therapeutic Liabilities through Adaptive Functional Proteomics. Invited. ITCR Annual meeting 2019. Salt Lake City, UT, US.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Science of Medicine Seminar Series. Scottsdale, AZ, US.
- 2019. The role of RNA editing in diversifying the cancer genome. Invited. 2019 AACR Annual Meeting. Atlanta, GA, US.
- 2019. The role of RNA editing in diversifying the microRNA functions in cancer. Conference. The role of RNA editing in diversifying the microRNA functions in cancer. Atlanta, GA, US.
- 2018. Systematic Identification of cancer therapeutic liabilities through adaptive functional proteomics. Conference. MDACC. Boston, MA, US.
- 2018. The role of enhancers in cancer development: From evolutionary origin to immunotherapy. Conference. MDACC. Washington DC, DC, US.
- 2018. The Cancer Proteome Atlas, TCPA: An Integrated Bioinformatics Resource for Functional Cancer Proteomic Data. Conference. ITCR 2018 Annual Meeting. Bethesda, MD, US.
- 2018. How to maximize the utility of the big cancer genomic data?. Conference. Cancer and Big Data Medicine Symposium. Atlanta, GA, US.
- 2018. Systematic Functional Annotation of Somatic Mutations in Cancer. Conference. MDACC. Chicago, IL, US.
- 2018. Systematic Characterization of A-to-I RNA Editing in Cancer Development. Conference. MDACC. Chicago, IL, US.
- 2018. The Cancer Proteome Atlas, TCPA: An Integrated Bioinformatics Resource for Functional Cancer Proteomic Data. Conference. AACR. Chicago, IL, US.
- 2018. How to maximize the utility of big cancer genomics data?. Conference. 2nd International Conference on Genomic Medicine. Houston, TX, US.
- 2018. Maximize the Power of Cloud Computing for Precision Oncology. Conference. Cambridge Healthcare Institute. San Francisco, CA, US.
- 2018. Systematic Functional Annotation of Somatic Mutations in Clinically Actionable Genes. Conference. Cambridge Healthcare Institute. San Francisco, CA, US.
- 2017. The Cancer Proteome Atlas, TCPA: An Integrated Bioinformatics Resource for Functional Cancer Proteomic Data. Conference. ITCR 2017 Annual Meeting. Santa Cruz, AR, US.
- 2017. Systematic characterization of A-to-I RNA editing hotspots in microRNAs across human cancers. Conference. MDACC. Washington DC, US.
- 2017. Integrating multi-Omics data for clinical actions. Conference. Cambridge Healthcare Institute. San Francisco, CA, US.
- 2016. Functional Proteomics as a major approach for precision cancer medicine. Conference. UTMDACC. Houston, US.
- 2016. An evolutionary origin of human aging-related diseases. Invited. Department of Ecology and Evolutionary Biology. Princeton, NJ, US.
- 2016. An evolutionary origin of aging-related diseases. Conference. UTMDACC. Baltimore, MD, US.
- 2016. Comprehensive Characterization of the Mitochondrial Genome across Cancers. Conference. UTMDACC. Boston, MA, US.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Epigenetic Translational Program. Rochester, MN, US.
- 2016. How to maximize the utility of the big cancer genomic data?. Conference. Precision Cancer Medicine Symposium. Seoul.
- 2016. Maximizing the Utility of TCGA Data. Invited. Miami, FL, US.
- 2016. The genomic landscape and clinical relevance of A-to-I RNA editing in human cancers. Conference. AACR Annual Meeting 2016. New Orleans, LA, US.
- 2016. Maximizing the Utility of The Cancer Genome Atlas. Invited. Department of Computer Sciences. Los Angeles, CA, US.
- 2016. Maximizing the Utility of The Cancer Genome Atlas. Invited. Interdepartmental Bioinformatics Seminar. Los Angeles, CA, US.
- 2015. TANRIC: an interactive open platform to explore the function of lncRNAs in cancer. Conference. UTMDACC. Bethesda, MD, US.
- 2015. Improve Cancer Treatments by Incorporating the NGS Data of Tumor Samples. Conference. CHI Healthcare Institute. Washington D.C, US.
- 2015. Precision Cancer Medicine and Precision Academic Development. Conference. UTMDACC. Boston, MA, US.
- 2015. Integrative protein-marker prognostic model for early-stage endometrioid endometrial carcinoma. Conference. UTMACC. Philadelphia, PA, US.
- 2015. Maximizing the Utility of TCGA Genomic Data. Conference. Cambridge Healthcare Institute. San Francisco, CA, US.
- 2014. Maximizing the Utility of TCGA Genomic Data. Conference. UTMACC. San Antonio, TX, US.
- 2014. Progress summary of PCAWG-15 working group. Conference. UTMDACC. Boston, MA, US.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Department of Computational Medicine and Bioinformatics. Ann Arbor, MI, US.
- 2014. Overview and Plans for the Mitochondrial Genome Working Group. Conference. UTMDACC. Beijing, US.
- 2014. Systematic Functional Annotation of Somatic Mutations in Clinically Actionable Cancer Genes. Conference. UTMDACC. Bethesda, MD, US.
- 2014. Dissecting the Clinical Utility of Cancer Genomic Data across Tumor Types,. Invited. Department of Bioengineering. San Diego, CA, US.
- 2014. Dissecting the Clinical Utility of Cancer Genomic Data across Tumor Types. Conference. UTMDACC. San Diego, CA, US.
- 2013. eFISMIC: a Comprehensive Database of Experimental-evidence-based Functional Impact of Somatic Mutations. Conference. UTMDACC. Bethesda, MD, US.
- 2013. From Complete Catalogs to "Actionable" Shortlists: Integrative Analysis of Next-generation Sequencing Data in Cancer Research. Conference. Select Biosciences. Boston, MA, US.
- 2013. Clinical Utility of TCGA Genomic Data. Conference. UTMDACC. Seattle, WA, US.
- 2013. The Cancer Proteome Atlas. Conference. UTMDACC. Seattle, WA, US.
- 2013. Pseudogene Expression Defines Biologically and Clinically Relevant Cancer Subtypes. Conference. UTMDACC. Seattle, WA, US.
- 2013. The RNA editing in Endometrial Cancer. Conference. UTMDACC. Galveston, TX, US.
- 2012. Identifying Functional RNA Editing Hotspots in Endometrial Cancer (UCEC). Conference. UTMDACC. Arlington, VA, US.
- 2012. Comparative Analysis on Somatic Copy-Number Alterations Across Different Types of Human Cancer Reveals Two Distinct Classes of Breakpoint Hotspots. Conference. UTMDACC. Arlington, VA, US.
- 2012. CanDrA: Cancer-Specific Driver Missense Mutation Annotation with Optimized Descriptors. Conference. UTMDACC. Arlington, VA, US.
- 2012. Network Properties of Biomarkers in the Gene Co-expression Networks of Human Cancer. Conference. UT MDACC. San Cruz, CA, US.
- 2012. CanDrA: Cancer-Specific Driver Missense Mutation Annotation with Optimized Descriptors. Conference. UTMDACC. Houston, TX, US.
- 2012. On the Evolution of Somatic Copy-number Alteration Breakpoint Hotspots in Human Cancer. Conference. UTMDACC. Houston, TX, US.
- 2012. Predicting the Lethal Phenotype of the Knockout Mouse by Integrating Comprehensive Genomic Data. Conference. UTMDACC. San Diego, CA, US.
- 2012. From Complete Catalogs to “Actionable” Shortlists: Integrative Analysis of NGS Data for Target Identification, Ben May Department of Cancer Research. Invited. Ben May Department of Cancer Research. Chicago, IL, US.
- 2012. Comparative Analysis of Somatic Copy-number Alterations across Different Human Cancer Types Reveals Two Distinct Classes of Breakpoint Hotspots. Conference. UTMDACC. Houston, TX, US.
- 2012. BM-Map: an Efficient Software Package for Accurately Allocating Multireads of RNA-sequencing Data. Conference. UTMDACC. Nashville, TN, US.
- 2012. A Systematical View on Key Genetic Factors Affecting Somatic Copy Number Alterations in Different Cancers. Conference. UTMDACC. Chicago, IL, US.
- 2011. A “missing finger” method for effective zinc finger nuclease design and construction. Conference. UTMDACC. Austin, TX, US.
- 2011. Reproducibility study of targeted kinome sequencing using SOLiD platform. Conference. UTMDACC. Houston, TX, US.
- 2011. BM-Map: Bayesian mapping of multireads for Next-Generation Sequencing Data. Conference. The Cancer Genome Atlas: An Extraordinary Enterprise. Houston, TX, US.
- 2011. RNA-Seq Analysis in Cancer Research. Invited. Department of Internal Medicine. Iowa City, IA, US.
- 2011. Multi-layer and integrative analysis of the whole transcriptome in gastric cancer. Conference. Partek. San Diego, CA, US.
- 2011. BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data. Conference. ENAR. Miami, FL, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Bethesda, MD, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Case Western Reserve University. Cleveland, OH, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. The Ohio State University Medical Center. Columbus, OH, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Fred Hutchinson Cancer Research Center. Seattle, WA, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. University of Chicago. Chicago, IL, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Carnegie Mellon University. Pittsburgh, PA, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. Georgia Institute of Technology. Atlanta, GA, US.
- 2008. MicroRNA Regulation in Humans: a View of Systems Biology. Invited. University of Rochester. Rochester, NY, US.
- 2007. Small RNAs with a Big Impact: MicroRNA Regulation in Humans. Invited. Northwestern University. Chicago, IL, US.
- 2007. Small RNAs with a Big Impact: MicroRNA Regulation in Humans. Invited. University of Illinois, Urbana-Champaign. Champaign, IL, US.
- 2007. MicroRNA Regulation of Human Protein-Protein Interaction Network. Conference. The 1st Annual Midwest Symposium on Computational Biology and Bioinformatics. Chicago, IL, US.
- 2007. MicroRNA Regulation of Human Protein-Protein Interaction Network. Conference. RNA Society. Madison, WI, US.
- 2006. SWAKK: a Web Server for Detecting Positive Selection in Proteins Using a Window Substitution Rate Analysis. Conference. Princeton University. Temple, AZ, US.
- 2006. Coordination Between Regulation at the Transcriptional and Post-transcriptional Levels. Conference. Princeton University. Temple, AZ, US.
- 2005. A Genome-wide Study of Dual Coding Regions in Human Alternatively Spliced Genes. Conference. Princeton University. State College, PA, US.
- 2004. Tandem Stop Codon Analysis in Yeasts. Conference. Princeton University. State College, PA, US.
- 2004. Computational Tests of Molecular Mimicry between tRNA and Protein Translation Factors. Conference. Princeton University. Madison, WI, US.
- 2003. Computational Tests of Molecular Mimicry between tRNA and Protein Translation Factors. Conference. Princeton University. Newport Beach, CA, US.
International Presentations
- 2023. Fill the gap between cancer omics data and precision cancer medicine. Invited. Hangzhou, CN.
- 2023. Fill the gap between cancer omics data and precision cancer medicine. Invited. Harbin, CN.
- 2023. Fill the gap between cancer omics data and precision cancer medicine. Invited. Beijing, CN.
- 2023. Fill the gap between cancer omics data and precision cancer medicine. Invited. Gordon Research Conference. Luccs, IT.
- 2023. Artificial Intelligence, Big Data and Cancer Systems. Invited. the Bioscience Program Seminar. Thuwal, SA.
- 2023. Trade-off effects in cancer evolution. Invited. Light of Evolution Symposium. Virtual, US.
- 2022. Fill the gap between big data and precision cancer medicine. Invited. Peking-Tsinghua University Center for Life Sciences. Virtual, US.
- 2022. Fill the gap between big cancer data and precision cancer medicine. Invited. Cell Symposium: Hallmarks of Cancer 2022. San Diego, US.
- 2022. How Big omics data and AI help drug development?. Invited. The 18th Society of Chinese Bioscientists in America (SCBA) International Symposium. Boston, US.
- 2022. Big omics data and AI-driven data mining facilitate drug development. Invited. Big omics data and AI-driven data mining facilitate drug development. Zoom, US.
- 2022. Big genomics data and artificial intelligence: from bioinformatics tools to intellectual partners. Invited. Big genomics data and artificial intelligence: from bioinformatics tools to intellectual partners, US.
- 2022. Enhancer RNAs in Human Cancer. Invited. Enhancer RNAs in Human Cancer, US.
- 2022. The role of enhancer RNAs in cancer. Invited. Small non-coding RNA bioinformatics club. Virtual, US.
- 2021. Artificial intelligence, Big Data and Cancer Systems. Invited. The 10th International Workshop on Cancer Systems Biology (ISCB). Virtual, US.
- 2021. Characterization of hypoxia-associated molecular features to aid hypoxia-targeted therapy. Invited. AACR Annual Meeting 2021. Virtual, US.
- 2020. Cancer genomics data analysis, artificial intelligence and molecular diagnostics. Invited. Haishang Examiner Fortnum. Virtual, CN.
- 2020. Data mining of big cancer genomic data and artificial intelligence. Invited. Future Forum YOSIA Webinar. Virutal, US.
- 2020. Big data mining of women’s cancers. Invited. Chinese Association of Clinical Oncology Annual meeting 2020. Virtual, CN.
- 2020. Data mining of big cancer genomic data and artificial intelligence. Invited. 2020 Young Scientist Cancer Research Symposium. Virtual, CN.
- 2020. Perspective on metabolic data analysis. Invited. 2020 Metabolomics Symposium. Suzhou (Virtual), CN.
- 2020. DrOncoRight: A natural language-oriented, AI-driven analytics for cancer omic data. Invited. AACR Annual Meeting 2020. Virtual, US.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Beijing, CN.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Future Science Price Symposium. Beijing, CN.
- 2019. How Big Cancer Omics Data can Help the Decision of Drug Development?. Invited. China Trials 12. Shanghai, CN.
- 2019. Big Data Mining for Precision Cancer Medicine. Invited. The West Lake Gastric Cancer Symposium. Hangzhou, CN.
- 2019. At the Beginning of the End of Cancer Genomics. Invited. The International Bioinformatics Workshop (IBW) 2019. Beijing, CN.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. Beijing, CN.
- 2019. Comprehensive Analysis of Molecular differences between Male and Female Patients. Invited. the 17th Society of Chinese Bioscientists in American (SCBA) International Symposium. Kunming, CN.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. The 9th International Workshop on Cancer Systems Biology. Changchun, CN.
- 2019. Novel Insights into Immunotherapy by Deep Mining of Big Cancer Genomic Data. Invited. The 5th Precision Medicine and Gene Sequencing Conference. Beijing, CN.
- 2018. The role of enhancers in cancer development: From evolutionary origin to immunotherapy. Invited. Hangzhou, CN.
- 2018. Mining of Big Cancer Genomic Data for Precision Medicine. Invited. the 3rd Summit Symposium for Precision Medicine. Jinan, CN.
- 2018. Mining of Big Cancer Genomic Data for Precision Medicine. Invited. Beijing, CN.
- 2018. How to maximize the utility of the big cancer genomic data?. Invited. 6th China-European Gynecological Endoscopy Peak Summit Symposium. Guangzhou, CN.
- 2018. Big Data Mining in Precision Cancer Medicine. Invited. 2018 China Gynecologic Oncology Annual Meeting. Chongqing, CN.
- 2018. Big Cancer Genomics Data Mining for Precision Medicine. Invited. 2018 Enmore BioConference. Suzhou, CN.
- 2018. How to maximize the utility of big cancer genomics data?. Invited. 2nd International Conference on Genomic Medicine. Houston, US.
- 2017. Big data mining in precision cancer medicine. Invited. International Symposium on Gastric Cancer. Hangzhou, CN.
- 2017. Big data mining in precision cancer medicine. Invited. The 2nd International Symposium of Lung and Esophageal Cancers. Shanghai, CN.
- 2017. Big data mining in precision cancer medicine. Invited. Beijing, CN.
- 2017. The Pan-Cancer Analysis using TCGA data. Invited. The 2017 International Bioinformatics Workshop (IBW). Harbin, CN.
- 2016. Functional Proteomics as a major approach for precision cancer medicine. Invited. The 2016 International Conference on Intelligent Biology and Medicine (ICIBM’16). Houston, US.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Beijing, CN.
- 2016. Big data mining in precision cancer medicine. Invited. World Precision Medicine (China) Summit. Shanghai, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Guangzhou, CN.
- 2016. Big data mining in precision cancer medicine. Invited. Hangzhou, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. China-US Biomedical Symposium on Oncology & Immunology. Baoding, CN.
- 2016. Functional proteomics as a major approach for precision cancer medicine. Invited. The 7th National Conference on Bioinformatics and Systems Biology and International Workshop on Advanced Bioinformatics and Precision. Chengdu, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Paris, FR.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. 2016 Precision Medicine Summit: Personalized Diagnostics and Treatment of Human Diseases. Shanghai, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Beijing, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Beijing, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Beijing, CN.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Seoul.
- 2016. How to maximize the utility of the big cancer genomic data?. Invited. Beijing, CN.
- 2016. Comprehensive Characterization of the Mitochondrial Genome across Cancers. Invited. ICGC PCAWG F2F meeting. Barcelona, ES.
- 2016. The genomic landscape and clinical relevance of A-to-I RNA editing in human cancers. Conference. Keystone Symposium on The Cancer Genome Keystone Symposium on The Cancer Genome. Banff, CA.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. The Second Worldwide Chinese Translational Biomedical Informatics Workshop (WC-TBIW2015). Harbin, CN.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Chinese Academy of Sciences. Harbin, CN.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Harbin, CN.
- 2015. Dissecting Novel Genetic Elements in Cancer. Invited. Tongji University Bioinformatics Workshop. Shanghai, CN.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Bioinformatics and Brain Science Frontier Forum. Xi'an, CN.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Xi’an, CN.
- 2015. Identification of Novel Genetic Elements in Human Cancer. Invited. Beijing, CN.
- 2015. Maximizing the Utility of TCGA Genomic Data. Invited. Beijing, CN.
- 2015. Improve the prognostic estimation of cancer patients by incorporating the molecular data of tumor samples. Conference. CSH-Asia Conference: Precision Cancer Biology & Medicine. Suzhou, CN.
- 2015. The genomic landscape and clinical relevance of A-to-I RNA editing in human cancer. Conference. Gordon Research Conference on RNA Editing. Luccs, IT.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. The 2014 International Conference on Intelligent Biology and Medicine (ICIBM’14). San Antonio, US.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Beijing, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. China-US Biomedical Symposium on Oncology. Shijiazhuang, CN.
- 2014. Improve the Prognostic Estimation of Cancer Patients by Incorporating the Molecular Data of Tumor Samples. Conference. Quantitative Biology: From Genes, Cells to Networks. Cold Spring Harbor Asian Conference. Suzhou, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Heidelberg, DE.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. The 4th International Workshop on Cancer Systems Biology. Changchun, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Beijing, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Beijing, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Shanghai, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Suzhou, CN.
- 2014. Maximizing the Utility of TCGA Genomic Data. Invited. Young Scholar Forum for Interdisciplinary Research of Mathematics, Computer Science, and Life Sciences. Beijing, CN.
- 2014. Overview and Plans for the Mitochondrial Genome Working Group. Invited. 9th International Cancer Genome Consortium Scientific Workshop. Beijing, US.
- 2013. From Complete Catalogs to "Actionable" Shortlists: Integrative Analysis of Next-generation Sequencing Data in Cancer Research. Invited. BIO-IT World Asia Conference. Singapore, SG.
- 2012. Insights from TCGA. Invited, KR.
- 2012. CanDrA: Cancer-Specific Driver Missense Mutation Annotation with Optimized Descriptors. Conference. International Conference on Stochastic Processes in Systems Biology, Genetics & Evolution. Houston, US.
- 2012. On the Evolution of Somatic Copy-number Alteration Breakpoint Hotspots in Human Cancer. Conference. International Conference on Stochastic Processes in Systems Biology, Genetics & Evolution. Houston, US.
- 2012. A Personal Journey in US Academia & Bioinformatics for Personalized Cancer Therapy. Invited. The 2012 PKU Bio-Net Annual Conference. Boston, US.
- 2012. BM-Map: an Efficient Software Package for Accurately Allocating Multireads of RNA-sequencing Data. Conference. The 2012 International Conference on Intelligent Biology and Medicine. Nashville, US.
- 2011. Next-generation Sequencing and Personalized Medicine. Invited. The 2011 PKU Bio-Net Annual Conference. New York, US.
- 2011. BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data. Conference. 2011 Eastern North American Region of the International Biometric Society Meeting. Miami, US.
- 2010. BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data. Invited. Beijing, CN.
- 2010. Conservation of gene order in human microRNA-neighboring regions. Conference. Cold Spring Harbor Asia Computational Biology Meeting. Suzhou, CN.
- 2010. BM-Map: Bayesian Mapping of Multireads for Next-Generation Sequencing Data. Conference. Cold Spring Harbor Asia Computational Biology Meeting. Suzhou, CN.
- 2008. Protein Interaction Network Architecture and Gene Duplication. Conference. 2008 Society of Molecular Biology and Evolution Conference. Barcelona, ES.
- 2005. Are Stop Codons Recognized by Triplets in the Large Ribosomal RNA Subunit?. Conference. The 14th International Conference on the Origin of Life. Beijing, CN.
- 2005. Molecular Mimicry and the RNA World. Conference. The 14th International Conference on the Origin of Life. Beijing, CN.
- 2005. A Genome-wide Study of Dual Coding Regions in Human Alternatively Spliced Genes. Conference. The Tenth Annual Meeting of the RNA Society. Banff, Alberta, CA.
- 2005. Are Stop Codons Recognized by Triplets in the Large Ribosomal RNA Subunit?. Conference. The Tenth Annual Meeting of the RNA Society. Banff, Alberta, CA.
- 2002. Emergent Genetic Codes: Variations on a Theme. Conference. The 13th International Conference on the Origin of Life. Oaxaca, MX.
Grant & Contract Support
| Date: | 2025 - 2027 |
| Title: | Proteomics-driven precision molecular mapping of patient tumors to preclinical models in lung cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| ID: | R21CA288901 |
| Date: | 2024 - 2025 |
| Title: | MD Anderson CLL Donation for immunotherapy |
| Funding Source: | MD Anderson |
| Role: | Co-I |
| ID: | 600411-80-128839-19 |
| Date: | 2024 - 2025 |
| Title: | Unraveling Ovarian Cancer’s Complexity: A Clinically Relevant Three-Dimensional Atlas |
| Funding Source: | MD Anderson |
| Role: | Co-PI |
| ID: | 600663-30-129591-21 |
| Date: | 2023 - 2028 |
| Title: | The University of Texas MD Anderson Cancer Center SPORE in Ovarian Cancer Core B |
| Funding Source: | NIH/NCI |
| Role: | Core Co-Director |
| ID: | P50CA281701 |
| Date: | 2023 - 2028 |
| Title: | Systematic Characterization and Targeting of Neomorphic Drivers in Cancer |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| ID: | U01CA281902 |
| Date: | 2023 - 2027 |
| Title: | Targeting the LIFR-LCN2 pathway to improve liver cancer therapy |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | R01CA269140 |
| Date: | 2022 - 2025 |
| Title: | A SIK2 Inhibitor, GRN-300 (ARN-3261), Enhances Response to Paclitaxel and PARP Inhibitors in Triple Negative Breast Cancer |
| Funding Source: | American Cancer Society (ACS) |
| Role: | Co-I |
| ID: | 971882 |
| Date: | 2022 - 2027 |
| Title: | The Cancer Proteome Atlas: an Integrated Bioinformatics Resource for Functional Cancer Proteomic Data |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | U24CA264128 |
| Date: | 2022 - 2027 |
| Title: | Development of irreversible electroporation-based rational combinations to potentiate the activity of cancer immunotherapy against pancreatic ductal adenocarcinoma |
| Funding Source: | NIH/NCI |
| Role: | Co-I |
| ID: | R01CA258540 |
| Date: | 2021 - 2026 |
| Title: | Mechanistic maps of adaptive responses to therapeutic stress to optimize combination therapies |
| Funding Source: | NIH/NCI |
| Role: | Co-PI |
| ID: | U01CA253472 |
| Date: | 2020 - 2027 |
| Title: | Barnhart Family Distinguished Professorship in Targeted Therapies |
| Funding Source: | MD Anderson |
| Role: | PI |
| ID: | 600815-80-101635-50 |
| Date: | 2020 - 2025 |
| Title: | Characterization and modeling of m6A RNA methylation in cancer |
| Funding Source: | NIH/NCI |
| Role: | PI |
| ID: | R01CA251150 |
| Date: | 2020 - 2021 |
| Title: | Characterization and modeling of m6A RNA methylation in cancer |
| Funding Source: | UTMDACC |
| Role: | PI |
| ID: | R01CA251150 |
| Title: | Illuminating understudied druggable proteins using cancer functional proteomics data |
| Funding Source: | The University of Texas MD Anderson Cancer Center |
| Role: | PI |
| ID: | 2025-00065120-Y1 |
Selected Publications
Peer-Reviewed Articles
- Lin W, Luo Y, Wu J, Zhang H, Jin G, Guo C, Zhou H, Liang H, Xu X. Loss of ADAR1 in macrophages in combination with interferon gamma suppresses tumor growth by remodeling the tumor microenvironment. J Immunother Cancer 11(11), 2023. e-Pub 2023. PMID: 37935565.
- Shen X, Gao X, Luo Y, Xu Q, Fan Y, Hong S, Huang Z, Liu X, Wang Q, Chen Z, Wang D, Lu L, Wu C, Liang H, Wang L. Cxxc finger protein 1 maintains homeostasis and function of intestinal group 3 innate lymphoid cells with aging. Nat Aging 3(8):965-981 *co-corresponding author, 2023. e-Pub 2023. PMID: 37429951.
- Li X, Wang Y, Deng S, Zhu G, Wang C, Johnson NA, Zhang Z, Tirado CR, Xu Y, Metang LA, Gonzalez J, Mukherji A, Ye J, Yang Y, Peng W, Tang Y, Hofstad M, Xie Z, Yoon H, Chen L, Liu X, Chen S, Zhu H, Strand D, Liang H, Raj G, He HH, Mendell JT, Li B, Wang T, Mu P. Loss of SYNCRIP unleashes APOBEC-driven mutagenesis, tumor heterogeneity, and AR-targeted therapy resistance in prostate cancer. Cancer Cell 41(8):1427-1449.e12, 2023. e-Pub 2023. PMID: 37478850.
- Chen J, Liu K, Luo Y, Kang M, Wang J, Chen G, Qi J, Wu W, Wang B, Han Y, Shi L, Wang K, Han X, Ma X, Liu W, Ding Y, Wang L, Liang H, Wang L, Chen J. Single-cell Profiling of Tumor Immune Microenvironment Reveals Immune Irresponsiveness in Gastric Signet-ring Cell Carcinoma. Gastroenterology 165(1):88-103 * co-corresponding author, 2023. e-Pub 2023. PMID: 36921674.
- Bao C, Chen O, Sheng H, Zhang J, Luo Y, Hayes BW, Liang H, Liedtke W, Ji RR, Abraham SN. A mast cell-thermoregulatory neuron circuit axis regulates hypothermia in anaphylaxis. Sci Immunol 8(81):eadc9417, 2023. e-Pub 2023. PMID: 36930731.
- Hahn AW, Menk AV, Rivadeneira DB, Augustin RC, Xu M, Li J, Wu X, Mishra AK, Gide TN, Quek C, Zang Y, Spencer CN, Menzies AM, Daniel CR, Hudgens CW, Nowicki T, Haydu LE, Khan MAW, Gopalakrishnan V, Burton EM, Malke J, Simon JM, Bernatchez C, Putluri N, Woodman SE, Vashisht Gopal YN, Guerrieri R, Fischer GM, Wang J, Wani KM, Thompson JF, Lee JE, Hwu P, Ajami N, Gershenwald JE, Long GV, Scolyer RA, Tetzlaff MT, Lazar AJ, Schadendorf D, Wargo JA, Kirkwood JM, DeBerardinis RJ, Liang H, Futreal A, Zhang J, Wilmott JS, Peng W, Davies MA, Delgoffe GM, Najjar YG, McQuade JL. Obesity is associated with altered tumor metabolism in metastatic melanoma. Clin Cancer Res 29(1):154-164, 2023. e-Pub 2023. PMID: 36166093.
- Peng X, Zhang S, Wang Y, Zhou Z, Yu Z, Zhong Z, Zhang L, Chen ZS, Claret FX, Elkabets M, Wang F, Sun F, Wang R, Liang H, Lin HW, Kong D. Stellettin B Sensitizes Glioblastoma to DNA-Damaging Treatments by Suppressing PI3K-Mediated Homologous Recombination Repair. Adv Sci 10(3):e2205529, 2023. e-Pub 2023. PMID: 36453577.
- Zhou Z, Chen MM, Luo Y, Mojumdar K, Peng X, Chen H, Kumar SV, Akbani R, Lu Y, Liang H. Tumor-intrinsic SIRPA promotes sensitivity to checkpoint inhibition immunotherapy in melanoma. Cancer Cell 40(11):1324-1340.e8, 2022. e-Pub 2022. PMID: 36332624.
- Fujita M, Chen MM, Siwak DR, Sasagawa S, Oosawa-Tatsuguchi A, Arihiro K, Ono A, Miura R, Maejima K, Aikata H, Ueno M, Hayami S, Yamaue H, Chayama K, Lee JS, Lu Y, Mills GB, Liang H, Nishizuka SS, Nakagawa H. Proteo-genomic characterization of virus-associated liver cancers reveals potential subtypes and therapeutic targets. Nat Commun 13(1):6481, 2022. e-Pub 2022. PMID: 36309506.
- Lu Z, Mao W, Yang H, Santiago-O'Farrill JM, Rask PJ, Mondal J, Chen H, Ivan C, Liu X, Liu CG, Xi Y, Masuda K, Carrami EM, Chen M, Tang Y, Pang L, Lakomy DS, Calin GA, Liang H, Ahmed AA, Vankayalapati H, Bast RC. SIK2 inhibition enhances PARP inhibitor activity synergistically in ovarian and triple-negative breast cancers. J Clin Invest 132(11), 2022. e-Pub 2022. PMID: 35642638.
- Yao F, Deng Y, Zhao Y, Mei Y, Zhang Y, Liu X, Martinez C, Su X, Rosato RR, Teng H, Hang Q, Yap S, Chen D, Wang Y, Chen MM, Zhang M, Liang H, Xie D, Chen X, Zhu H, Chang JC, You MJ, Sun Y, Gan B, Ma L. A targetable LIFR-NF-κB-LCN2 axis controls liver tumorigenesis and vulnerability to ferroptosis. Nat Commun 12(1):7333, 2021. e-Pub 2021. PMID: 34921145.
- Lin J, Peng X, Dong K, Long J, Guo X, Li H, Bai Y, Yang X, Wang D, Lu X, Mao Y, Sang X, Ji X, Zhao H, Liang H. Genomic characterization of co-existing neoplasia and carcinoma lesions reveals distinct evolutionary paths of gallbladder cancer. Nat Commun 12(1):4753, 2021. e-Pub 2021. PMID: 34362903.
- Sun M, Wang Y, Zheng C, Wei Y, Hou J, Zhang P, He W, Lv X, Ding Y, Liang H, Hon CC, Chen X, Xu H, Chen Y. Systematic functional interrogation of human pseudogenes using CRISPRi. Genome Biol 22(1):240, 2021. e-Pub 2021. PMID: 34425866.
- Zong X, Zhang Y, Peng X, Cao D, Yu M, Wang J, Li H, Guo X, Liang H, Yang J. Analysis of the genomic landscape of yolk sac tumors reveals mechanisms of evolution and chemoresistance. Nat Commun 12(1):3579, 2021. e-Pub 2021. PMID: 34117242.
- Li J, Chen H, Wang Y, Chen MM, Liang H. Next-generation analytics for omics data. Cancer Cell 39(1):3-6, 2021. e-Pub 2021. PMID: 32976776.
- Zhao W, Li J, Chen MM, Luo Y, Ju Z, Nesser NK, Johnson-Camacho K, Boniface CT, Lawrence Y, Pande NT, Davies MA, Herlyn M, Muranen T, Zervantonakis IK, von Euw E, Schultz A, Kumar SV, Korkut A, Spellman PT, Akbani R, Slamon DJ, Gray JW, Brugge JS, Lu Y, Mills GB, Liang H. Large-Scale Characterization of Drug Responses of Clinically Relevant Proteins in Cancer Cell Lines. Cancer Cell 38(6):829-843.e4, 2020. e-Pub 2020. PMID: 33157050.
- Chen H, Liang H. A high-resolution map of human enhancer RNA loci characterizes super-enhancer activities in cancer. Cancer Cell 38(5):701-715.e5, 2020. e-Pub 2020. PMID: 33007258.
- Bailey MH, Meyerson WU, Dursi LJ, Wang LB, Dong G, Liang WW, Weerasinghe A, Li S, Li Y, Kelso S, Group MC, working group PNSMCM, Saksena G, Ellrott K, Wendl MC, Wheeler DA, Getz G, Simpson JT, Gerstein MB, Ding L, Consortium P. Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples. Nat Commun 11(1):4748, 2020. e-Pub 2020. PMID: 32958763.
- Li CH, Prokopec SD, Sun RX, Yousif F, Schmitz N, Boutros PC. Sex differences in oncogenic mutational processes. Nat Commun 11(1):4330, 2020. e-Pub 2020. PMID: 32859912.
- Yuan Y, Ju YS, Kim Y, Li J, Wang Y, Yoon CJ, Yang Y, Martincorena I, Creighton CJ, Weinstein JN, Xu Y, Han L, Kim HL, Nakagawa H, Park K, Campbell PJ, Liang H, Consortium P. Comprehensive molecular characterization of mitochondrial genomes in human cancers. Nat Genet 52(3):342-352, 2020. e-Pub 2020. PMID: 32024997.
- Reyna MA, Haan D, Paczkowska M, Verbeke LPC, Vazquez M, Kahraman A, Pulido-Tamayo S, Barenboim J, Wadi L, Dhingra P, Shrestha R, Getz G, Lawrence MS, Pedersen JS, Rubin MA, Wheeler DA, Brunak S, Izarzugaza JMG, Khurana E, Marchal K, von Mering C, Sahinalp SC, Valencia A, Reimand J, Stuart JM, Raphael BJ. Pathway and network analysis of more than 2500 whole cancer genomes. Nat Commun 11(1):729, 2020. e-Pub 2020. PMID: 32024854.
- Jiao W, Atwal G, Polak P, Karlic R, Cuppen E, Danyi A, de Ridder J, van Herpen C, Lolkema MP, Steeghs N, Getz G, Morris QD, Stein LD. A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns. Nat Commun 11(1):728, 2020. e-Pub 2020. PMID: 32024849.
- Paczkowska M, Barenboim J, Sintupisut N, Fox NS, Zhu H, Abd-Rabbo D, Mee MW, Boutros PC, Reimand J. Integrative pathway enrichment analysis of multivariate omics data. Nat Commun 11(1):735, 2020. e-Pub 2020. PMID: 32024846.
- Cmero M, Yuan K, Ong CS, Schroder J, Corcoran NM, Papenfuss T, Hovens CM, Markowetz F, Macintyre G. Inferring structural variant cancer cell fraction. Nat Commun 11(1):730, 2020. e-Pub 2020. PMID: 32024845.
- Rubanova Y, Shi R, Harrigan CF, Li R, Wintersinger J, Sahin N, Deshwar AG, Morris QD. Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig. Nat Commun 11(1):731, 2020. e-Pub 2020. PMID: 32024834.
- Zhang Y, Chen F, Fonseca NA, He Y, Fujita M, Nakagawa H, Zhang Z, Brazma A, Creighton CJ. High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations. Nat Commun 11(1):736, 2020. e-Pub 2020. PMID: 32024823.
- Shuai S, Gallinger S, Stein LD. Combined burden and functional impact tests for cancer driver discovery using DriverPower. Nat Commun 11(1):734, 2020. e-Pub 2020. PMID: 32024818.
- Sieverling L, Hong C, Koser SD, Ginsbach P, Kleinheinz K, Hutter B, Braun DM, Cortes-Ciriano I, Xi R, Kabbe R, Park PJ, Eils R, Schlesner M, Brors B, Rippe K, Jones DTW, Feuerbach L. Genomic footprints of activated telomere maintenance mechanisms in cancer. Nat Commun 11(1):733, 2020. e-Pub 2020. PMID: 32024817.
- Bhandari V, Li CH, Bristow RG, Boutros PC. Divergent mutational processes distinguish hypoxic and normoxic tumours. Nat Commun 11(1):737, 2020. e-Pub 2020. PMID: 32024819.
- Genomes Consortium IPAOW. Pan-cancer analysis of whole genomes. Nature 578(7793):82-93, 2020. e-Pub 2020. PMID: 32025007.
- Li Z, Gao X, Peng X, May Chen MJ, Li Z, Wei B, Wen X, Wei B, Dong Y, Bu Z, Wu A, Wu Q, Tang L, Li Z, Liu Y, Zhang L, Jia S, Zhang L, Shan F, Zhang J, Wu X, Ji X, Ji K, Wu X, Shi J, Xing X, Wu J, Lv G, Shen L, Ji X, Liang H, Ji J. Multi-omics characterization of molecular features of gastric cancer correlated with response to neoadjuvant chemotherapy. Sci Adv 6(9):eaay4211, 2020. e-Pub 2020. PMID: 32133402.
- Chen H, Li J, Wang Y, Ng PK, Tsang YH, Shaw KR, Mills GB, Liang H. Comprehensive assessment of computational algorithms in predicting cancer driver mutations. Genome Biol 21(1):43, 2020. e-Pub 2020. PMID: 32079540.
- Hong W, Ruan H, Zhang Z, Ye Y, Liu Y, Li S, Jing Y, Zhang H, Diao L, Liang H, Han L. APAatlas: decoding alternative polyadenylation across human tissues. Nucleic Acids Res 48(D1):D34-D39, 2020. e-Pub 2020. PMID: 31586392.
- Xu X, Wang Y, Mojumdar K, Zhou Z, Jeong KJ, Mangala LS, Yu S, Tsang YH, Rodriguez-Aguayo C, Lu Y, Lopez-Berestein G, Sood AK, Mills GB, Liang H. A-to-I-edited miRNA-379-5p inhibits cancer cell proliferation through CD97-induced apoptosis. J Clin Invest 129(12):5343-5356, 2019. e-Pub 2019. PMID: 31682236.
- Zhu Y, Shao X, Wang X, Liu L, Liang H. Sex disparities in cancer. Cancer Lett 466:35-38, 2019. e-Pub 2019. PMID: 31541696.
- Haupt S, Caramia F, Herschtal A, Soussi T, Lozano G, Chen H, Liang H, Speed TP, Haupt Y. Identification of cancer sex-disparity in the functional integrity of p53 and its X chromosome network. Nat Commun 10(1):5385, 2019. e-Pub 2019. PMID: 31772231.
- Ye Y, Hu Q, Chen H, Liang K, Yuan Y, Xiang Y, Ruan H, Zhang Z, Song A, Zhang H, Liu L, Diao L, Lou Y, Zhou B, Wang L, Zhou S, Gao J, Jonasch E, Lin SH, Xia Y, Lin C, Yang L, Mills GB, Liang H, Han L. Characterization of Hypoxia-associated Molecular Features to Aid Hypoxia-Targeted Therapy. Nat Metab 1(4):431-444, 2019. e-Pub 2019. PMID: 31984309.
- Xia J, Chiu LY, Nehring RB, Bravo Núñez MA, Mei Q, Perez M, Zhai Y, Fitzgerald DM, Pribis JP, Wang Y, Hu CW, Powell RT, LaBonte SA, Jalali A, Matadamas Guzmán ML, Lentzsch AM, Szafran AT, Joshi MC, Richters M, Gibson JL, Frisch RL, Hastings PJ, Bates D, Queitsch C, Hilsenbeck SG, Coarfa C, Hu JC, Siegele DA, Scott KL, Liang H, Mancini MA, Herman C, Miller KM, Rosenberg SM. Bacteria-to-Human Protein Networks Reveal Origins of Endogenous DNA Damage. Cell 176(1-2):127-143.e24, 2019. e-Pub 2019. PMID: 30633903.
- Kim J, Piao HL, Kim BJ, Yao F, Han Z, Wang Y, Xiao Z, Siverly AN, Lawhon SE, Ton BN, Lee H, Zhou Z, Gan B, Nakagawa S, Ellis MJ, Liang H, Hung MC, You MJ, Sun Y, Ma L. Long noncoding RNA MALAT1 suppresses breast cancer metastasis. Nat Genet 50(12):1705-1715, 2018. e-Pub 2018. PMID: 30349115.
- Yuan WC, Pepe-Mooney B, Galli GG, Dill MT, Huang HT, Hao M, Wang Y, Liang H, Calogero RA, Camargo FD. NUAK2 is a critical YAP target in liver cancer. Nat Commun 9(1):4834, 2018. e-Pub 2018. PMID: 30446657.
- Zhang H, Wang Y, Li J, Chen H, He X, Zhang H, Liang H, Lu J. Biosynthetic energy cost for amino acids decreases in cancer evolution. Nat Commun 9(1):4124, 2018. e-Pub 2018. PMID: 30297703.
- Zhang M, Fritsche J, Roszik J, Williams LJ, Peng X, Chiu Y, Tsou CC, Hoffgaard F, Goldfinger V, Schoor O, Talukder A, Forget MA, Haymaker C, Bernatchez C, Han L, Tsang YH, Kong K, Xu X, Scott KL, Singh-Jasuja H, Lizee G, Liang H, Weinschenk T, Mills GB, Hwu P. RNA editing derived epitopes function as cancer antigens to elicit immune responses. Nat Commun 9(1):3919, 2018. e-Pub 2018. PMID: 30254248.
- Kahles A, Lehmann KV, Toussaint NC, Hüser M, Stark SG, Sachsenberg T, Stegle O, Kohlbacher O, Sander C, Research Network CGA, Rätsch G. Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients. Cancer Cell 34(2):211-224.e6, 2018. e-Pub 2018. PMID: 30078747.
- Lin SH, Raju GS, Huff C, Ye Y, Gu J, Chen JS, Hildebrandt MAT, Liang H, Menter DG, Morris J, Hawk E, Stroehlein JR, Futreal A, Kopetz S, Mishra L, Wu X. The somatic mutation landscape of premalignant colorectal adenoma. Gut 67(7):1299-1305, 2018. e-Pub 2018. PMID: 28607096.
- Yao F, Zhou Z, Kim J, Hang Q, Xiao Z, Ton BN, Chang L, Liu N, Zeng L, Wang W, Wang Y, Zhang P, Hu X, Su X, Liang H, Sun Y, Ma L. SKP2- and OTUD1-regulated non-proteolytic ubiquitination of YAP promotes YAP nuclear localization and activity. Nat Commun 9(1):2269, 2018. e-Pub 2018. PMID: 29891922.
- Peng X, Xu X, Wang Y, Hawke DH, Yu S, Han L, Zhou Z, Mojumdar K, Jeong KJ, Labrie M, Tsang YH, Zhang M, Lu Y, Hwu P, Scott KL, Liang H, Mills GB. A-to-I RNA Editing Contributes to Proteomic Diversity in Cancer. Cancer Cell 33(5):817-828.e7, 2018. e-Pub 2018. PMID: 29706454.
- Hoadley KA, Yau C, Hinoue T, Wolf DM, Lazar AJ, Drill E, Shen R, Taylor AM, Cherniack AD, Thorsson V, Akbani R, Bowlby R, Wong CK, Wiznerowicz M, Sanchez-Vega F, Robertson AG, Schneider BG, Lawrence MS, Noushmehr H, Malta TM, Atlas Network CG, Stuart JM, Benz CC, Laird PW. Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer. Cell 173(2):291-304.e6, 2018. e-Pub 2018. PMID: 29625048.
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- Chang HR, Nam S, Kook MC, Kim KT, Liu X, Yao H, Jung HR, Lemos R, Seo HH, Park HS, Gim Y, Hong D, Huh I, Kim YW, Tan D, Liu CG, Powis G, Park T, Liang H, Kim YH. HNF4α is a therapeutic target that links AMPK to WNT signalling in early-stage gastric cancer. Gut 65(1):19-32, 2016. e-Pub 2016. PMID: 25410163.
- Han L, Diao L, Yu S, Xu X, Li J, Zhang R, Yang Y, Werner HM, Eterovic AK, Yuan Y, Li J, Nair N, Minelli R, Tsang YH, Cheung LW, Jeong KJ, Roszik J, Ju Z, Woodman SE, Lu Y, Scott KL, Li JB, Mills GB, Liang H. The Genomic Landscape and Clinical Relevance of A-to-I RNA Editing in Human Cancers. Cancer Cell 28(5):515-28, 2015. e-Pub 2015. PMID: 26439496.
- Li J, Han L, Roebuck P, Diao L, Liu L, Yuan Y, Weinstein JN, Liang H. TANRIC: An Interactive Open Platform to Explore the Function of lncRNAs in Cancer. Cancer Res 75(18):3728-37, 2015. e-Pub 2015. PMID: 26208906.
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- Bansal M, Yang J, Karan C, Menden MP, Costello JC, Tang H, Xiao G, Li Y, Allen J, Zhong R, Chen B, Kim M, Wang T, Heiser LM, Realubit R, Mattioli M, Alvarez MJ, Shen Y, Community N, Gallahan D, Singer D, Saez-Rodriguez J, Xie Y, Stolovitzky G, Califano A, Community N. A community computational challenge to predict the activity of pairs of compounds. Nat Biotechnol 32(12):1213-1222, 2014. e-Pub 2014. PMID: 25419740.
- Cheung LW, Yu S, Zhang D, Li J, Ng PK, Panupinthu N, Mitra S, Ju Z, Yu Q, Liang H, Hawke DH, Lu Y, Broaddus RR, Mills GB. Naturally occurring neomorphic PIK3R1 mutations activate the MAPK pathway, dictating therapeutic response to MAPK pathway inhibitors. Cancer Cell 26(4):479-94, 2014. e-Pub 2014. PMID: 25284480.
- Zhang P, Wei Y, Wang L, Debeb BG, Yuan Y, Zhang J, Yuan J, Wang M, Chen D, Sun Y, Woodward WA, Liu Y, Dean DC, Liang H, Hu Y, Ang KK, Hung MC, Chen J, Ma L. ATM-mediated stabilization of ZEB1 promotes DNA damage response and radioresistance through CHK1. Nat Cell Biol 16(9):864-75, 2014. e-Pub 2014. PMID: 25086746.
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- Piao HL, Yuan Y, Wang M, Sun Y, Liang H, Ma L. α-catenin acts as a tumour suppressor in E-cadherin-negative basal-like breast cancer by inhibiting NF-κB signalling. Nat Cell Biol 16(3):245-54, 2014. e-Pub 2014. PMID: 24509793.
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- Akbani R, Ng PK, Werner HM, Shahmoradgoli M, Zhang F, Ju Z, Liu W, Yang JY, Yoshihara K, Li J, Ling S, Seviour EG, Ram PT, Minna JD, Diao L, Tong P, Heymach JV, Hill SM, Dondelinger F, Städler N, Byers LA, Meric-Bernstam F, Weinstein JN, Broom BM, Verhaak RG, Liang H, Mukherjee S, Lu Y, Mills GB. A pan-cancer proteomic perspective on The Cancer Genome Atlas. Nat Commun 5:3887, 2014. e-Pub 2014. PMID: 24871328.
- Zhang P, Wang L, Rodriguez-Aguayo C, Yuan Y, Debeb BG, Chen D, Sun Y, You MJ, Liu Y, Dean DC, Woodward WA, Liang H, Yang X, Lopez-Berestein G, Sood AK, Hu Y, Ang KK, Chen J, Ma L. miR-205 acts as a tumour radiosensitizer by targeting ZEB1 and Ubc13. Nat Commun 5:5671, 2014. e-Pub 2014. PMID: 25476932.
- Omberg L, Ellrott K, Yuan Y, Kandoth C, Wong C, Kellen MR, Friend SH, Stuart J, Liang H, Margolin AA. Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas. Nat Genet 45(10):1121-6, 2013. e-Pub 2013. PMID: 24071850.
- Research Network CGA. The Cancer Genome Atlas Pan-Cancer analysis project. Nat Genet 45(10):1113-20, 2013. e-Pub 2013. PMID: 24071849.
- Research Network CGA. Integrated Genomic Characterization of Endometrial Carcinoma. Nature 497(7447):67-73, 2013. e-Pub 2013. PMID: 23636398.
- Chen D, Sun Y, Wei Y, Zhang P, Rezaeian AH, Teruya-Feldstein J, Gupta S, Liang H, Lin HK, Hung MC, Ma L. LIFR is a Breast Cancer Metastasis Suppressor Upstream of the Hippo-YAP Pathway and a Prognostic Marker. Nat Med 18(10):1511-7, 2012. e-Pub 2012. PMID: 23001183.
- Kim YH, Liang H, Liu X, Lee JS, Cho JY, Cheong JH, Kim H, Li M, Downey TJ, Dyer MD, Sun Y, Sun J, Beasley EM, Chung HC, Noh SH, Weinstein JN, Liu CG, Powis G. AMPKα modulation in cancer progression: multilayer integrative transcriptome analysis in Asian gastric cancer. Cancer Res 72(10):2512-21, 2012. e-Pub 2012. PMID: 22434430.
- Li J, Roebuck P, Grünewald S, Liang H. SurvNet: a web server for identifying network-based biomarkers that most correlate with patient survival data. Nucleic Acids Res 40(W):W123-126, 2012. e-Pub 2012. PMID: 22570412.
- Cheung LW, Hennessy BT, Li J, Yu S, Myers AP, Djordjevic B, Lu Y, Stemke-Hale K, Zhang F, Ju Z, Cantley LC, Scherer SE, Liang H, Lu KH, Broaddus RR, Mills GB. High Frequency of PIK3R1 and PIK3R2 Mutations in Endometrial Cancer Elucidates a Novel Mechanism for Regulation of PTEN Protein Stability. Cancer Discov 1(2):170-185, 2011. e-Pub 2011. PMID: 21984976.
- Yun J, Frankenberger CA, Kuo WL, Boelens MC, Eves EM, Cheng N, Liang H, Li WH, Ishwaran H, Minn AJ, Rosner MR. Signalling pathway for RKIP and Let-7 regulates and predicts metastatic breast cancer. EMBO J 30(21):4500-14, 2011. e-Pub 2011. PMID: 21873975.
- Liang H, Zhou W, Landweber LF. SWAKK: a Web Server for Detecting Positive Selection in Proteins Using a Sliding Window Substitution Rate Analysis. Nucleic Acids Res 34(W):382-384, 2006. e-Pub 2006. PMID: 16845032.
Review Articles
- Hahn WC, Bader JS, Braun TP, Califano A, Clemons PA, Druker BJ, Ewald AJ, Fu H, Jagu S, Kemp CJ, Kim W, Kuo CJ, McManus M, B Mills G, Mo X, Sahni N, Schreiber SL, Talamas JA, Tamayo P, Tyner JW, Wagner BK, Weiss WA, Gerhard DS, Discovery CT, Network D. An expanded universe of cancer targets. Cell 184(5):1142-1155, 2021. e-Pub 2021. PMID: 33667368.
- Cheng F, Liang H, Butte AJ, Eng C, Nussinov R. Personal Mutanomes Meet Modern Oncology Drug Discovery and Precision Health. Pharmacol Rev 71(1):1-19, 2019. e-Pub 2019. PMID: 30545954.
- Liang H, Kim YH. Identifying molecular drivers of gastric cancer through next-generation sequencing. Cancer Lett 340(2):241-6, 2013. e-Pub 2013. PMID: 23178814.
Editorials
- Luo Y, Liang H. Cancer Cells Employ the Most Prolific RNA Editors: A Closer Look at the Single-Cell Level. Cancer Res 83(3):351-353, 2023. PMID: 36734079.
- Liang H. More reliable breast cancer risk assessment for every woman. Cancer Cell 39(4):457-459, 2021. PMID: 33740422.
Book Chapters
- Siwak DR, Li J, Akbani R, Liang H, Lu Y. Analytical Platforms 3: Processing Samples via the RPPA Pipeline to Generate Large-Scale Data for Clinical Studies. In: Adv Exp Med Biol, 113-147, 2019.
- Liang H. Brilliant Journey, Extraordinary Achievements: Cancer Genomics Lays a Solid Foundation for the Development of Precision Medicine. In: MIT Technology Review, 2019.
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Patents
- Efficient Functional Genomics Platform. Patent Number: 14/409,726.
Patient Reviews
CV information above last modified October 01, 2025