Author

S. S. Hegde

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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Cancer Biology· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

A. E. Carpenter· 1 shared A. S. Low· 1 shared B. A. Earnshaw· 1 shared B. Fogelson· 1 shared B. L. Probst· 1 shared B. M. Mendivil· 1 shared C. A. Brooks· 1 shared C. C. Gibson· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperImmunology

A. E. Carpenter

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Author profile →

2 papers

Recent·Most cited

Gene expression signature of castrate resistant prostate cancer

D. J. S. J M, S. S. Hegde, N. Tamboli, N. Nadig, K. Ramaiah, P. Ranganathan

The paper identifies a gene expression signature for castrate resistant prostate cancer by comparing gene expression profiles across control, castrate sensitive, and castrate resistant groups using RNA-seq and TCGA data.

bioRxiv · Mar 16, 2022Cancer Biology

Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

M. F. Cuccarese, B. A. Earnshaw, K. Heiser, B. Fogelson, C. T. Davis, P. F. McLean, H. B. Gordon, K.-R. Skelly, F. L. Weathersby, V. Rodic, I. K. Quigley, E. D. Pastuzyn, B. M. Mendivil, N. H. Lazar, C. A. Brooks, , C. C. Gibson

This paper develops a deep-learning enabled phenomics platform to identify immune-modulating compounds and applies it to study SARS-CoV-2 infection and cytokine storm, identifying clinically relevant compounds and new drug candidates.

bioRxiv · Aug 2, 2020 · PreprintImmunology