Author

James V. Talwar

University of California San DiegoORCID 0000-0002-9520-1950Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:eQTL / molecular QTL mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Adam KlieiD· 2 shared Hannah K. CarteriD· 2 shared Meghana S. PagadalaiD· 2 shared Brent Shane RoseiD· 1 shared Gil Pasternak· 1 shared Melissa GymrekiD· 1 shared Shervin GoudarziiD· 1 shared Tyler M. SeibertiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Adam KlieORCID

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2 papers

Recent·Most cited

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer

James V. Talwar, Adam Klie, Meghana S. Pagadala, Gil Pasternak, Brent Shane Rose, Tyler M. Seibert, Melissa Gymrek, Hannah K. Carter

VADEr, a Vision Transformer-inspired framework, improves polygenic risk prediction for prostate cancer by capturing genetic interactions and revealing heterogeneity through DARTH scores.

medRxiv · May 16, 2025 · PreprintGenetic & Genomic Medicine

Epigenetic Germline Variants Predict Cancer Prognosis and Risk and Distribute Uniquely in Topologically Associating Domains

Shervin Goudarzi, Meghana S. Pagadala, Adam Klie, James V. Talwar, Hannah K. Carter

This study shows that epigenetic variants affecting DNA methylation are distributed in chromatin domains and are linked to cancer risk and prognosis.

F1000Research · Sep 1, 2023Peer-reviewedBioinformatics