Author

Nitya Thakkar

Brown UniversityORCID 0000-0002-5647-6775Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Aaron T. MayeriD· 1 shared Ahmad MakkyiD· 1 shared Alexandro E. TrevinoiD· 1 shared Arjun S. RamaniD· 1 shared Christian M. SchürchiD· 1 shared Christopher I. LiiD· 1 shared Erez Lieberman AideniD· 1 shared Eric WuiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPathology

Aaron T. MayerORCID

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2 papers

Recent·Most cited

PathologyNature CommunicationsPeer-reviewedAug 16, 2025

ROSIE: AI generation of multiplex immunofluorescence staining from histopathology images

Eric Wu, Matthew F Bieniosek, Zhenqin Wu…·James Zou

ROSIE generates multiplex immunofluorescence staining from H&E images by imputing protein expression and localization using deep learning.

49 citationstop 1%

imagingdeep learning

𝕏 PostBluesky

BioinformaticsiSciencePeer-reviewedMar 27, 2024

Predicting A/B compartments from histone modifications using deep learning

Suchen Zheng, Nitya Thakkar, Hannah L. Harris…·Ritambhara Singh

This paper introduces a deep learning model to predict A/B compartments from histone modifications, achieving high accuracy across cell types and showing the importance of specific histone marks.

20 citations

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