Author

Vida Shokoohi

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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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:benchmarking· 1 Assay:CITE-seq· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1

Frequent Co-Authors

Aaron M. NewmaniD· 1 shared Aashi Jain· 1 shared Adam Ashkar-Masarwa· 1 shared Alberto ValdeolivasiD· 1 shared Alexander ScholziD· 1 shared Andrew E. LambiD· 1 shared Andrew J. GentlesiD· 1 shared Arwa S. Kathiria· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aaron M. NewmanORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 9, 2026

Repeated malaria exposure reprograms Vδ2+ γδT cell chromatin accessibility and immune function toward a reversible hyporesponsive state

Kathleen D. Press, Midhuna Immaculate Joseph Maran, Adam Ashkar-Masarwa…·Prasanna Jagannathan

DOI 10.64898/2026.10.02.755737

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BioinformaticsNature CommunicationsPeer-reviewedAug 27, 2024

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Brian S. White, Aurélien de Reyniès, Aaron M. Newman…·Andrew J. Gentles

The paper evaluates deconvolution methods for inferring immune infiltration from bulk gene expression using a DREAM Challenge, finding that some community-contributed methods, especially deep learning-based ones, perform well.

56 citationstop 1%

humanbulk RNA-seq

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