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      Tao Wang Image

      Tao Wang, PHD

      Department of Bioinformatics and Computational Biology, Division of Discovery Science

      Present Title & Affiliation

      Primary Appointment

      Tenure Track Associate Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Dual/Joint/Adjunct Appointment

      Tenure Track Associate Professor, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas

      Education & Training

      Degree-Granting Education

      2015University of Texas Southwestern Medical Center, US, Biostatistics and Bioinformatics & Integrative Biology, Ph.D
      2015University of Texas at Dallas, US, Statistics, M.S
      2011Peking Univesity, US, Life Sciences, Life B.S

      Experience & Service

      Faculty Academic Appointments

      Tenure Track Associate Professor, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas, 2023 - 2025

      Tenure Track Associate Professor, Center for the Genetics of Host Defense, UT Southwestern Medical Center, Dallas, Texas, 2023 - 2025

      Administrative Appointments/Responsibilities

      Member, Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, 2017 - 2025

      Other Professional Positions

      Immunology graduate program, UT Southwestern Medical Center, Dallas, 2020 - 2025

      Biomedical Engineering graduate program, UT Southwestern Medical Center, Dallas, 2017 - 2025

      Extramural Institutional Committee Activities

      Member, UTSW SPH HDS PhD Admissions Committee, UT Southwestern Medical Center, 2023 - 2025

      Lead Organizer, 2022 PKU Bio-Net Symposium in Dallas, UT Southwestern Medical Center, 2022 - Present

      Member, Immunology graduate program, UT Southwestern Medical Center, 2020 - 2025

      Member, Cancer Center Biostatistics Faculty Search Committee, UT Southwestern Medical Center, 2019 - Present

      Member, Simmons Cancer Center Biostatistics Core Internal Advisory Committee, UT Southwestern Medical Center, 2019 - 2025

      Member, UTSW BME/CB PhD Admissions Committee, UT Southwestern Medical Center, 2019 - 2025

      Member, UTSW Computational and Systems Works-In-Progress & Journal Club organization committee, UT Southwestern Medical Center, 2019 - 2020

      Member, Biomedical Engineering graduate program, UT Southwestern Medical Center, 2017 - 2025

      Editorial Activities

      Ad Hoc Reviewer, Nature methods, 2025 - Present

      Ad Hoc Reviewer, Cell, 2025 - Present

      Ad Hoc Reviewer, Cell, 2024 - Present

      Ad Hoc Reviewer, Nature methods, 2024 - Present

      Ad Hoc Reviewer, Proteomics & Bioinformatics, 2024 - Present

      Ad Hoc Reviewer, Genomics, 2024 - Present

      Ad Hoc Reviewer, Nature communications, 2023 - Present

      Ad Hoc Reviewer, Nature machine intelligence, 2023 - Present

      Ad Hoc Reviewer, Nucleic acids research, 2023 - Present

      Ad Hoc Reviewer, Nature biotechnology, 2023 - Present

      Ad Hoc Reviewer, Nature computational science, 2023 - Present

      Ad Hoc Reviewer, Cell Reports Medicine, 2023 - Present

      Ad Hoc Reviewer, Nature communications, 2022 - Present

      Ad Hoc Reviewer, Clinical Cancer Research, 2022 - Present

      Ad Hoc Reviewer, iScience, 2022 - Present

      Ad Hoc Reviewer, Nature biotechnology, 2022 - Present

      Ad Hoc Reviewer, Nature computational science, 2022 - Present

      Ad Hoc Reviewer, Genome biology, 2022 - Present

      Ad Hoc Reviewer, Aging, 2022 - Present

      Ad Hoc Reviewer, Nature medicine, 2022 - Present

      Ad Hoc Reviewer, Science Advances, 2022 - Present

      Ad Hoc Reviewer, Genome biology, 2021 - Present

      Ad Hoc Reviewer, Nature communications, 2021 - Present

      Ad Hoc Reviewer, Nature methods, 2021 - Present

      Ad Hoc Reviewer, Science immunology, 2021 - Present

      Ad Hoc Reviewer, Patterns, 2020 - Present

      Ad Hoc Reviewer, Nature communications, 2017 - Present

      Ad Hoc Reviewer, Biometrics & biostatistics international journal, 2016 - Present

      Ad Hoc Reviewer, Contemporary clinical trials, 2016 - Present

      Ad Hoc Reviewer, FEBS open bio, 2016 - Present

      Ad Hoc Reviewer, Quantitative Biology, 2016 - Present

      Ad Hoc Reviewer, Statistics in biopharmaceutical research, 2016 - Present

      Ad Hoc Reviewer, Journal of applied statistics, 2016 - Present

      Ad Hoc Reviewer, Biostatistics, 2016 - Present

      Ad Hoc Reviewer, Nucleic acids research, 2016 - Present

      Ad Hoc Reviewer, Clinical epigenetics, 2016 - Present

      Ad Hoc Reviewer, Fermentation, 2016 - Present

      Ad Hoc Reviewer, Electronic Journal of Statistics, 2016 - Present

      Ad Hoc Reviewer, Biometrical Journal, 2016 - Present

      Ad Hoc Reviewer, Contemporary Clinical Trials Communications, 2016 - Present

      Ad Hoc Reviewer, Genome biology, 2016 - Present

      Ad Hoc Reviewer, PloS one, 2016 - Present

      Honors & Awards

      2019 - PresentUTSW Leadership Emerging in Academic Departments (LEAD) Award, UT Southwestern Medical Center
      2016 - Present2023 PKU Alumnus Award, Peking University

      Professional Memberships

      American Association for Cancer Research

      2021 - Present

      American Statistical Society

      2016 - Present

      Selected Presentations & Talks

      Regional Presentations

      1. 2024. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited. Houston, Texas, US.
      2. 2024. TCR-antigen Foundation Model for Novel TCR-based Diagnostics and Therapeutics. Invited, Texas, US.
      3. 2024. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited. San Diego, California, US.
      4. 2024. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited, Texas, US.
      5. 2024. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited. Indianapolis, Indiana, US.
      6. 2023. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction on Spatial Transcriptomics Data. Invited, US.
      7. 2023. pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding. Invited. Arlington, Texas, US.
      8. 2022. De-noising Spatial Expression Profiling Data Based on in situ Position and Image Information. Invited. Dallas, Texas, US.
      9. 2022. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited. Houston, Texas, US.
      10. 2022. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited, US.
      11. 2022. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited, US.
      12. 2021. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited. Houston, Texas, US.
      13. 2018. Three-component dissection of tumor cellular heterogeneity by a Bayesian Hierarchical Model (Host: Dr. Daniel Heitjan). Invited. Dallas, Texas, US.
      14. 2018. Investment Opportunities in Cancer Immunogenomics. Invited. Houston, Texas, US.

      National Presentations

      1. 2025. Profiling Antigen Binding Affinity of B Cell Repertoires in Tumors by Deep Learning Predicts Immune-checkpoint Inhibitor Treatment Outcomes. Invited. Cincinnati, Ohio, US.
      2. 2025. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited. Minneapolis, Minnesota, US.
      3. 2025. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited. Houston, Texas, US.
      4. 2024. Mapping Cell-to-cell Interactions from Spatially Resolved Transcriptomics Data. Invited, US.
      5. 2023. Sprod: De-noising Spatial Transcriptomics Data Based on Position and Image Information. Invited, Michigan, US.
      6. 2022. De-noising Spatial Expression Profiling Data Based on in situ Position and Image Information. Invited, US.
      7. 2021. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited, US.
      8. 2020. TESSA, an Integrated Model for Mapping the Functional Landscape of TCR Repertoire by Single T cell Gene Expression. Invited, US.
      9. 2018. SCINA: Semi-Supervised Analysis of Single Cells in silico. Invited, Michigan, US.

      International Presentations

      1. 2024. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction from Spatial Transcriptomics Data. Invited, CN.
      2. 2024. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction from Spatial Transcriptomics Data. Invited, CN.
      3. 2024. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction from Spatial Transcriptomics Data. Invited, CN.
      4. 2024. TCR-antigen foundation model for novel TCR-based diagnostics and therapeutics. Invited, CN.
      5. 2023. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction on Spatial Transcriptomics Data. Invited, CN.
      6. 2023. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction on Spatial Transcriptomics Data. Invited, CN.
      7. 2023. Spacia: A Multi-Instance Learning Model for Inferring Cell-to-Cell Interaction on Spatial Transcriptomics Data. Invited, CN.
      8. 2022. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Invited, US.
      9. 2022. De-noising Spatial Expression Profiling Data Based on in situ Position and Image Information. Invited, CN.
      10. 2020. SClineager: A Bayesian Hierarchical Model to Perform Single Cell Lineage Tracing Based on Genetic Variants. Invited, US.
      11. 2019. Neoantigen clonal balance predicts immunotherapy outcomes and prognosis. Invited, CN.
      12. 2018. Multi-faceted modeling approaches to characterize tumor immunity. Invited, CN.
      13. 2018. Multi-faceted modeling approaches to characterize tumor immunity. Invited, CN.
      14. 2018. Multi-faceted modeling approaches to characterize tumor immunity. Invited, CN.
      15. 2018. Three-component dissection of tumor cellular heterogeneity by a Bayesian Hierarchical Model. Invited. Joint Statistical Meetings, CA.
      16. 2013. Estimating population-scale toxicities for environmental chemicals. Invited. RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges. Toronto, CA.
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      Grant & Contract Support

      Date: 2026 - 2031
      Title:Targeting the Tumor–Myeloid Interface to Prevent Distant Brain Failure After Stereotactic Radiotherapy
      Funding Source:NIH
      Role:PI
      ID:00029492
      Date: 2026 - 2031
      Title:Rejuvenating Tumor-Reactive T Cells for Immunotherapy in Renal Cell Carcinoma
      Funding Source:NIH via UTSW
      Role:PI
      ID:00029521
      Date: 2026 - 2031
      Title:AI-Driven Spatial Transcriptomics to Uncover Immunosurveillance Mechanisms in Hepatocellular Carcinoma
      Funding Source:NIH
      Role:MPI
      ID:00029143
      Date: 2026 - 2031
      Title:Statistical methods and tools for cancer outcome prediction based on the effect of TP53 mutations
      Funding Source:NIH
      Role:Co-I
      ID:R01CA239342
      Date: 2026 - 2029
      Title:AI-Guided Discovery of Safe and Immunogenic Tumor Antigens for Immunotherapy Using the Human Immune System as a Natural Filter
      Funding Source:Cancer Prevention and Research Institute of Texas
      Role:PI
      Date: 2026 - 2029
      Title:Mapping the sequence-function landscape of T cell receptor for cancer therapeutic discovery
      Funding Source:Cancer Prevention and Research Institute of Texas
      Role:PI
      ID:RP270039
      Date: 2026 - 2023
      Title:Redefining the regulatory roles of IL-10 in shaping antitumor immunity and immunopathology
      Funding Source:NIH via UTSW
      Role:PI
      ID:00029262
      Date: 2026 - 2028
      Title:Towards AI-Driven Discovery and Engineering of Therapeutic T Cell Receptors for Cancers
      Funding Source:American Cancer Society
      Role:PI
      ID:1593689
      Date: 2026 - 2031
      Title:AI Toolkits for the Discovery, Optimization and Engineering of Therapeutic T Cell Receptors for Cancers
      Funding Source:CANCER RESEARCH INSTITUTE
      Role:PI
      ID:CRI17505
      Date: 2026 - 2031
      Title:Decoding PTEN interactomes in shaping metastasis and therapeutic response
      Funding Source:NIH via UTSW
      Role:PI
      ID:R01CA317825
      Date: 2026 - 2028
      Title:Machine learning synergies between tumor oncogenic mutations and immune cell receptor repertoire in driving prognosis and immunotherapy response in cancers
      Funding Source:Cancer Research Institute
      Role:Co-I
      ID:00029490
      Date: 2026 - 2031
      Title:mapping the landscape of γδ T cell receptors in Alzheimer’s disease
      Funding Source:NIH
      Role:PI
      ID:R01AG103037
      Date: 2026 - 2031
      Title:Metastasis as an Emergent Continuum: Investigating Non-linear Signaling Networks and Tumor-Niche Interactions
      Funding Source:NCI
      Role:Co-I
      ID:U01CA304459
      Date: 2026 - 2031
      Title:Assessing the Immune Response to Neoantigen Exposure in Lynch Syndrome
      Funding Source:NCI
      Role:Co-I
      ID:R01CA311144
      Date: 2026 - 2030
      Title:Informatics toolkit to characterize the functional impact of T cell receptor-antigen interactions
      Funding Source:NIH
      Role:PI
      ID:R01CA311229
      Date: 2026 - 2029
      Title:Understand the humoral immune mechanism of the antitumor efficacy and autoimmune toxicity induced by immune checkpoint inhibitor in melanoma patients
      Funding Source:US Department of Defense
      Role:PI
      ID:ME250070P2
      Date: 2026 - 2031
      Title:Mechanisms of Neuroinflammation in Brain Metastasis Progression
      Funding Source:NIH
      Role:Co-I
      ID:FP27130
      Date: 2025 - 2026
      Title:AI-driven engineering of antigen-targeted T cell receptors
      Funding Source:UTMDACC
      Role:Co-PI
      ID:RCTS 2026-00066080-Y1
      Date: 2025 - 2028
      Title:Informatics toolkit to characterize the functional impact of T cell receptor-antigen interactions in cancer
      Funding Source:Cancer Prevention and Research Institute of Texas
      Role:PI
      ID:RP260071
      Date: 2025 - 2026
      Title:Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitors
      Funding Source:NCI
      Role:PI
      ID:R01CA258584
      Date: 2025 - 2026
      Title:Design and optimization of TCR-T therapeutics by an advanced T cell receptor-antigen binding prediction platform
      Funding Source:NIH / NCI
      Role:PI
      ID:R41CA302099
      Date: 2025 - 2030
      Title:TCR-antigen foundation model to empower TCR-based diagnostics and therapeutics
      Funding Source:NIAID
      Role:PI
      ID:R01AI192499
      Date: 2025 - 2028
      Title:An In Situ Tumor Vaccine to Stimulate Antitumor Immunity Against Breast Cancer
      Funding Source:Department of Defense
      Role:PI
      ID:BC240984P1
      Date: 2025 - 2030
      Title:Design and optimization of a novel TCR-T therapeutic for Chordoma using an advanced T cell receptor-antigen binding prediction platform
      Funding Source:NIGHTSTAR BIOTECHNOLOGIES, INC
      Role:PI
      ID:R41CA302099
      Date: 2025 - 2030
      Title:Machine learning for identifying antigen-antibody interactions from massive sequencing data
      Funding Source:NIAID
      Role:PI
      ID:R01AI190103
      Date: 2025 - 2027
      Title:Developing knowledge guided deep learning models to predict the binding between T cell receptors and neoantigens for facilitating TCR-T therapies
      Funding Source:Cancer Prevention & Research Institute of Texas
      Role:PI
      ID:RP230363
      Date: 2021 - 2023
      Title:Interpreting the TCR repertoire of lung cancers after immunotherapy treatment
      Funding Source:NIAID - Administrative Supplement
      Role:PI
      ID:1U01AI156189

      Selected Publications

      Peer-Reviewed Articles

      1. Yang Y, Wang K, Lu Z, Wang T, Wang X. Cytomulate: accurate and efficient simulation of CyTOF data. Genome Biol 24(1):262, 2023. e-Pub 2023. PMID: 37974276.
      2. Johnson KC, Johnson ST, Liu J, Chu Y, Arana C, Han Y, Wang T, Corey DR. Consequences of depleting TNRC6, AGO, and DROSHA proteins on expression of microRNAs. RNA 29(8):1166-1184, 2023. e-Pub 2023. PMID: 37169394.
      3. Rong R, Wei Y, Li L, Wang T, Zhu H, Xiao G, Wang Y. Image-based quantification of histological features as a function of spatial location using the Tissue Positioning System. EBioMedicine 94:104698, 2023. e-Pub 2023. PMID: 37453365.
      4. Lin YH, Wei Y, Zeng Q, Wang Y, Pagani CA, Li L, Zhu M, Wang Z, Hsieh MH, Corbitt N, Zhang Y, Sharma T, Wang T, Zhu H. IGFBP2 expressing midlobular hepatocytes preferentially contribute to liver homeostasis and regeneration. Cell Stem Cell 30(5):665-676.e4, 2023. e-Pub 2023. PMID: 37146585.
      5. Wang Z, Zhu S, Jia Y, Wang Y, Kubota N, Fujiwara N, Gordillo R, Lewis C, Zhu M, Sharma T, Li L, Zeng Q, Lin YH, Hsieh MH, Gopal P, Wang T, Hoare M, Campbell P, Hoshida Y, Zhu H. Positive selection of somatically mutated clones identifies adaptive pathways in metabolic liver disease. Cell 186(9):1968-1984.e20, 2023. e-Pub 2023. PMID: 37040760.
      6. Wang K, Yang Y, Wu F, Song B, Wang X, Wang T. Comparative analysis of dimension reduction methods for cytometry by time-of-flight data. Nat Commun 14(1):1836, 2023. e-Pub 2023. PMID: 37005472.
      7. Frank ML, Lu K, Erdogan C, Han Y, Hu J, Wang T, Heymach JV, Zhang J, Reuben A. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy. Clin Cancer Res 29(6):994-1008, 2023. e-Pub 2023. PMID: 36413126.
      8. Kim Y, Wang T, Xiong D, Wang X, Park S. Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences. BMC Bioinformatics 23(1):469, 2022. e-Pub 2022. PMID: 36348271.
      9. Celen C, Chuang JC, Shen S, Li L, Maggiore G, Jia Y, Luo X, Moore A, Wang Y, Otto JE, Collings CK, Wang Z, Sun X, Nassour I, Park J, Ghaben A, Wang T, Wang SC, Scherer PE, Kadoch C, Zhu H. Arid1a loss potentiates pancreatic beta-cell regeneration through activation of EGF signaling. Cell Rep 41(5):111581, 2022. e-Pub 2022. PMID: 36323264.
      10. Lu T, Park S, Han Y, Wang Y, Hubert SM, Futreal PA, Wistuba I, Heymach JV, Reuben A, Zhang J, Wang T. Netie: inferring the evolution of neoantigen-T cell interactions in tumors. Nat Methods 19(11):1480-1489, 2022. e-Pub 2022. PMID: 36303017.
      11. Deng S, Wang C, Wang Y, Xu Y, Li X, Johnson NA, Mukherji A, Lo UG, Xu L, Gonzalez J, Metang LA, Ye J, Tirado CR, Rodarte K, Zhou Y, Xie Z, Arana C, Annamalai V, Liu X, Vander Griend DJ, Strand D, Hsieh JT, Li B, Raj G, Wang T, Mu P. Ectopic JAK-STAT activation enables the transition to a stem-like and multilineage state conferring AR-targeted therapy resistance. Nat Cancer 3(9):1071-1087, 2022. e-Pub 2022. PMID: 36065066.
      12. Wang Y, Song B, Wang S, Chen M, Xie Y, Xiao G, Wang L, Wang T. Sprod for de-noising spatially resolved transcriptomics data based on position and image information. Nat Methods 19(8):950-958, 2022. e-Pub 2022. PMID: 35927477.
      13. Zhu J, Gouru A, Wu F, Berzofsky JA, Xie Y, Wang T. BepiTBR: T-B reciprocity enhances B cell epitope prediction. iScience 25(2):103764, 2022. e-Pub 2022. PMID: 35128358.
      14. Hannan R, Mohamad O, Diaz de Leon A, Manna S, Pop LM, Zhang Z, Mannala S, Christie A, Christley S, Monson N, Ishihara D, Hsu EJ, Ahn C, Kapur P, Chen M, Arriaga Y, Courtney K, Cantarel B, Wakeland EK, Fu YX, Pedrosa I, Cowell L, Wang T, Margulis V, Choy H, Timmerman RD, Brugarolas J. Outcome and Immune Correlates of a Phase II Trial of High-Dose Interleukin-2 and Stereotactic Ablative Radiotherapy for Metastatic Renal Cell Carcinoma. Clin Cancer Res 27(24):6716-6725, 2021. e-Pub 2021. PMID: 34551906.
      15. Foray AP, Candon S, Hildebrand S, Marquet C, Valette F, Pecquet C, Lemoine S, Langa-Vives F, Dumas M, Hu P, Santamaria P, You S, Lyon S, Scott L, Bu CH, Wang T, Xu D, Moresco EMY, Scazzocchio C, Bach JF, Beutler B, Chatenoud L. De novo germline mutation in the dual specificity phosphatase 10 gene accelerates autoimmune diabetes. Proc Natl Acad Sci U S A 118(47), 2021. e-Pub 2021. PMID: 34782469.
      16. Kim K, Zhou Q, Christie A, Stevens C, Ma Y, Onabolu O, Chintalapati S, Mckenzie T, Tcheuyap VT, Woolford L, Zhang H, Singla N, Parida PK, Marquez-Palencia M, Pedrosa I, Margulis V, Sagalowsky A, Xie Z, Wang T, Durinck S, Modrusan Z, Seshagiri S, Kapur P, Brugarolas J, Malladi S. Determinants of renal cell carcinoma invasion and metastatic competence. Nat Commun 12(1):5760, 2021. e-Pub 2021. PMID: 34608135.
      17. Lu T, Zhang Z, Zhu J, Wang Y, Jiang P, Xiao X, Bernatchez C, Heymach JV, Gibbons DL, Wang J, Xu L, Reuben A, Wang T. Deep learning-based prediction of the T cell receptor-antigen binding specificity. Nat Mach Intell 3(10):864-875, 2021. e-Pub 2021. PMID: 36003885.
      18. Udayakumar D, Zhang Z, Xi Y, Dwivedi DK, Fulkerson M, Haldeman S, McKenzie T, Yousuf Q, Joyce A, Hajibeigi A, Notgrass H, de Leon AD, Yuan Q, Lewis MA, Madhuranthakam AJ, Sibley RC, Elias R, Guo J, Christie A, McKay RM, Cadeddu JA, Bagrodia A, Margulis V, Brugarolas J, Wang T, Kapur P, Pedrosa I. Deciphering Intratumoral Molecular Heterogeneity in Clear Cell Renal Cell Carcinoma with a Radiogenomics Platform. Clin Cancer Res 27(17):4794-4806, 2021. e-Pub 2021. PMID: 34210685.
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      Review Articles

      1. Zhang M, Sheffield T, Zhan X, Li Q, Yang DM, Wang Y, Wang S, Xie Y, Wang T, Xiao G. Spatial molecular profiling: platforms, applications and analysis tools. Brief Bioinform 22(3), 2021. e-Pub 2021. PMID: 32770205.
      2. Xiong D, Zhang Z, Wang T, Wang X. A comparative study of multiple instance learning methods for cancer detection using T-cell receptor sequences. Comput Struct Biotechnol J 19:3255-3268, 2021. e-Pub 2021. PMID: 34141144.
      3. Wang T, Xiao G, Chu Y, Zhang MQ, Corey DR, Xie Y. Design and bioinformatics analysis of genome-wide CLIP experiments. Nucleic Acids Res 43(11):5263-74, 2015. e-Pub 2015. PMID: 25958398.

      Other Articles

      1. Zhu M, Wang Y, Lu T, Guo J, Li L, Hsieh MH, Gopal P, Han Y, Fujiwara N, Wallace DP, Yu ASL, Fang X, Ransom C, Verschleisser S, Hsiehchen D, Hoshida Y, Singal AG, Yopp A, Wang T, Zhu H PKD1 mutant clones within cirrhotic livers inhibit steatohepatitis without promoting cancer. Cell Metab, 2024. PMID: 38901424.
      2. Xu Y, Yang Y, Wang Z, Sjöström M, Jiang Y, Tang Y, Cheng S, Deng S, Wang C, Gonzalez J, Johnson NA, Li X, Li X, Metang LA, Mukherji A, Xu Q, Tirado CR, Wainwright G, Yu X, Barnes S, Hofstad M, Chen Y, Zhu H, Hanker AB, Raj GV, Zhu G, He HH, Wang Z, Arteaga CL, Liang H, Feng FY, Wang Y, Wang T, Mu P ZNF397 Deficiency Triggers TET2-Driven Lineage Plasticity and AR-Targeted Therapy Resistance in Prostate Cancer. Cancer Discov, 2024. PMID: 38591846.
      3. Wang T, Guo Y, Ma H, Na S, Zhong W, Han Y, Wang T, Huang J GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Brief Bioinform, 2024. PMID: 39007599.
      4. von Itzstein MS, Yang Y, Wang Y, Hsiehchen D, Sheffield TY, Fattah F, Popat V, Ahmed M, Homsi J, Dowell JE, Rashdan S, Lohrey J, Hammers HJ, Hughes RS, Wang T, Xie Y, Gerber DE Highly variable timing renders immunotherapy efficacy and toxicity impractical biomarkers of one another in clinical practice. Front Immunol, 2024. PMID: 38690281.
      5. Johnson KC, Kilikevicius A, Hofman C, Hu J, Liu Y, Aguilar S, Graswich J, Han Y, Wang T, Westcott JM, Brekken RA, Peng L, Karagkounis G, Corey DR Nuclear localization of Argonaute 2 is affected by cell density and may relieve repression by microRNAs. Nucleic Acids Res, 2024. PMID: 38109320.
      6. Prakasam G, Mishra A, Christie A, Miyata J, Carrillo D, Tcheuyap VT, Ye H, Do QN, Wang Y, Reig Torras O, Butti R, Zhong H, Gagan J, Jones KB, Carroll TJ, Modrusan Z, Durinck S, Requena-Komuro MC, Williams NS, Pedrosa I, Wang T, Rakheja D, Kapur P, Brugarolas J Comparative genomics incorporating translocation renal cell carcinoma mouse model reveals molecular mechanisms of tumorigenesis. J Clin Invest , 2024. PMID: 38386415.
      7. Zhang F, Mulvaney O, Salcedo E, Manna S, Zhu JZ, Wang T, Ahn C, Pop LM, Hannan R Radiation-Induced Innate Neutrophil Response in Tumor Is Mediated by the CXCLs/CXCR2 Axis. Cancers (Basel), 2023. PMID: 38067390.
      8. Rodriguez Tirado C, Wang C, Li X, Deng S, Gonzalez J, Johnson NA, Xu Y, Metang LA, Sundar Rajan M, Yang Y, Yin Y, Hofstad M, Raj GV, Zhang S, Lemoff A, He W, Fan J, Wang Y, Wang T, Mu P UBE2J1 is the E2 ubiquitin-conjugating enzyme regulating androgen receptor degradation and antiandrogen resistance. Oncogene, 2023. PMID: 38030789.
      9. Zhu Z, Lou G, Teng XL, Wang H, Luo Y, Shi W, Yihunie K, Hao S, DeGolier K, Liao C, Huang H, Zhang Q, Fry T, Wang T, Yao C, Wu T FOXP1 and KLF2 reciprocally regulate checkpoints of stem-like to effector transition in CAR T cells. Nature Immunology, 2023. PMID: 38012417.
      10. Yang Y, Wang K, Lu Z, Wang T, Wang X Cytomulate: accurate and efficient simulation of CyTOF data. Genome Biol, 2023. PMID: 7974279.
      11. Hannan R, McLaughlin MF, Pop LM, Pedrosa I, Kapur P, Garant A, Ahn C, Christie A, Zhu J, Wang T, Robles L, Durakoglugil D, Woldu S, Margulis V, Gahan J, Brugarolas J, Timmerman R, Cadeddu J Phase 2 Trial of Stereotactic Ablative Radiotherapy for Patients with Primary Renal Cancer. Eur Urol, 2023. PMID: 36898872.
      12. 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, 2023. PMID: 37478850.
      13. Zhang C, Wang X, Chen M, Wang T A comparison of hypothesis tests for homogeneity in meta-analysis with focus on rare binary events. Res Synth Methods 12(4):408-428, 2021. PMID: 34231330.

      Book Chapters

      1. Wang T, Xiao G, Chu Y, Zhang MQ, Corey DR, Xie Y. Design and bioinformatics analysis of genome-wide CLIP experiments. Nucleic Acids Res, 2015.

      Books (edited and written)

      1. Wang T. Finding RNA-Protein Interactions Sites Using HMMs. In Hidden Markov Models - Methods and Protocols. Humana Press, 2017.
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