Author

Sharanya Chatterjee

Columbia UniversityORCID 0000-0002-5806-6278Unclaimed 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:gene regulatory network inference· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Elham AziziiD· 2 shared Joshua D. MyersiD· 2 shared Mingxuan ZhangiD· 2 shared Alexander Preau· 1 shared Benjamin IzariD· 1 shared Edridge K. D’SouzaiD· 1 shared Isha AroraiD· 1 shared Jana BiermanniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenomics

Elham AziziORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintSep 26, 2026

SHERLOCK: Structured representation learning and causal inference of downstream perturbation effects

Mingxuan Zhang, Joshua D. Myers, Lingting Shi…·Elham Azizi

SHERLOCK is a deep generative framework for single-cell perturbation analysis that learns interpretable perturbation representations and enables causal analysis of downstream effects.

DOI 10.64898/2026.09.25.754573

humanscRNA-seq

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BioinformaticsbioRxivPreprintDec 15, 2024

Echidna: A Bayesian framework for quantifying gene dosage effect impacting phenotypic plasticity

Joy Linyue Fan, Mingxuan Zhang, William O’Brien…·Elham Azizi

Echidna quantifies gene dosage effects on phenotypic plasticity by integrating scRNA-seq and WGS data to separate genetic from cell non-autonomous mechanisms.

2 citations

humanscRNA-seq

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