Author

Soham Samanta

MIT Computer Science and Artificial Intelligence Laboratory

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

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Ellis PatrickiD· 1 shared M KellisiD· 1 shared Manoj M WagleiD· 1 shared Pengyi YangiD· 1 shared Yongheng WangiD· 1 shared Zunpeng LiuiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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1 shared paperBioinformatics

Ellis PatrickORCID

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1 paper

Recent·Most cited

Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics

Manoj M Wagle, Yongheng Wang, Soham Samanta, Zunpeng Liu, Ellis Patrick, Pengyi Yang, M Kellis

This paper introduces Phenoverse, a deep learning framework that learns disease state representations from single-cell transcriptomic data, enabling disease prediction and severity assessment using binary labels.

bioRxiv · Jul 22, 2026 · PreprintBioinformatics