Author

Manoj M Wagle

Broad InstituteORCID 0000-0001-5339-1453Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Ellis PatrickiD· 2 shared M KellisiD· 2 shared Pengyi YangiD· 2 shared Yongheng WangiD· 2 shared Zunpeng LiuiD· 2 shared Chunlei LiuiD· 1 shared Soham Samanta· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Ellis PatrickORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 22, 2026

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

Manoj M Wagle, Yongheng Wang, Soham Samanta…·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.

DOI 10.64898/2026.07.21.738207

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsMolecular Systems BiologyPeer-reviewedApr 11, 2026

Interpretable deep generative ensemble learning for single-cell omics with Hydra

Manoj M Wagle, Chunlei Liu, Zunpeng Liu…·Pengyi Yang

Hydra is a deep generative framework for single-cell omics data that improves cell type annotation and feature selection, particularly for rare populations.

1 citation

humanscRNA-seq

𝕏 PostBluesky