Author

Nilabja Bhattacharjee

Indraprastha Institute of Information Technology DelhiORCID 0009-0007-7752-6990Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1

Frequent Co-Authors

Abhishek HalderiD· 2 shared Bernadette MathewiD· 2 shared Debarka SenguptaiD· 2 shared Gaurav AhujaiD· 2 shared Ritwik GangulyiD· 2 shared Sreeram Chandra Murthy PeelaiD· 2 shared Stuti KumariiD· 2 shared Swarnava SamantaiD· 2 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Abhishek HalderORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 24, 2026

A knowledge graph-guided framework for multitask single-cell analysis

Bernadette Mathew, Akash Maity, Ritwik Ganguly…·Debarka Sengupta

scKNIFE integrates gene expression with functional annotations to identify tumor programs and treatment-related functional variation in breast cancer.

DOI 10.64898/2026.04.25.720773

humanscRNA-seq

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Cancer BiologybioRxivPreprintSep 4, 2025

Mechanism-aware inference of response to targeted cancer therapies

Nilabja Bhattacharjee, Sreeram Chandra Murthy Peela, Abhishek Halder…·Debarka Sengupta

This paper introduces FORGE, a framework that jointly models drug response and gene essentiality to identify treatment groups and predict efficacy using basal gene expression.

1 citation

humanbulk RNA-seq

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