Author

Sayan Biswas

S.N. Bose National Centre for Basic Sciences

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Biology Disciplines

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Cancer Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Bhavesh NeekhraiD· 2 shared Debayan GuptaiD· 2 shared Debojyoti ChowdhuryiD· 2 shared Shreyansh PriyadarshiiD· 2 shared Shubhasis HaldariD· 2 shared Avirup Mazumder· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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6 top collaborators · 15 mutual co-author links

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2 shared papersCancer Biology

Bhavesh NeekhraORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintFeb 3, 2025

Robust Prediction of Patient-Specific Cancer Hallmarks Using Neural Multi-Task Learning: a model development and validation study

Shreyansh Priyadarshi, Avirup Mazumder, Bhavesh Neekhra…·Shubhasis Haldar

This paper develops OncoMark, a neural multi-task learning framework to predict cancer hallmark activities from transcriptomics data, achieving high accuracy across internal and external datasets.

DOI 10.1101/2025.02.03.636380

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintNov 26, 2024

Comprehensive Enumeration of Cancer Stem-like Cell Heterogeneity Using Deep Neural Network

Debojyoti Chowdhury, Shreyansh Priyadarshi, Sayan Biswas…·Shubhasis Haldar

ACSCeND quantifies cancer stem cell composition from bulk RNA-seq data, showing improved accuracy over existing methods and linking CSC abundance to poorer survival outcomes.

DOI 10.1101/2024.11.26.625418

humanbulk RNA-seq

𝕏 PostBluesky