Author

Durga Devi Thota

Stanford Medicine

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Michael P. SnyderiD· 2 shared Aaron Miller· 1 shared Andrea C.M. Miller· 1 shared Andrew GrimsoniD· 1 shared Daniel P. MoriarityiD· 1 shared David Shing Huk IuiD· 1 shared Faraz AhmediD· 1 shared Fereshteh JahanbaniiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersImmunology

Michael P. SnyderORCID

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2 papers

Recent·Most cited

Inflammatory Proteins are Highly Variable During a Natural Stressor: A Call for Intensive Longitudinal Blood Microsampling

Daniel P. Moriarity, Andrea C.M. Miller, Durga Devi Thota, Aaron Miller, Kevin Trent, Tory Anne Eisenlohr-Moul, Thomas W. McDade, Michael P. Snyder, George M. Slavich

This study shows that inflammatory proteins vary little between individuals over time, highlighting the need for intensive longitudinal sampling to capture dynamic changes in immune responses.

Brain Behavior and Immunity · Jul 28, 2026Peer-reviewedImmunology

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis

Sai Zhang, Fereshteh Jahanbani, Varuna Chander, Martin Kjellberg, Menghui Liu, Katherine A. Glass, David Shing Huk Iu, Faraz Ahmed, Han Li, Rajan Douglas Maynard, Tristan Chou, Johnathan Cooper‐Knock, Martin Jinye Zhang, Durga Devi Thota, Michael Zeineh, , Michael P. Snyder

This study uses a deep learning framework to analyze whole-genome data from ME/CFS patients, identifying risk genes and linking them to disease symptoms and other complex traits.

medRxiv · Apr 15, 2025 · PreprintGenetic & Genomic Medicine