Author

Angshul Majumder

Indraprastha Institute of Information Technology Delhi

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Abhishek HalderiD· 1 shared Bernadette MathewiD· 1 shared Debarka SenguptaiD· 1 shared Gaurav AhujaiD· 1 shared Nilabja BhattacharjeeiD· 1 shared Ritwik GangulyiD· 1 shared Sakshi Gujral· 1 shared Smruti Panda· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Abhishek HalderORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Mechanism-aware inference of response to targeted cancer therapies

Nilabja Bhattacharjee, Sreeram Chandra Murthy Peela, Abhishek Halder, Bernadette Mathew, Swarnava Samanta, Sakshi Gujral, Stuti Kumari, Smruti Panda, Ritwik Ganguly, Gaurav Ahuja, Subhajyoti De, Angshul Majumder, 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.

bioRxiv · Sep 4, 2025 · PreprintCancer Biology