Author

Saptarshi Bej

Indian Institute of Science Education and Research ThiruvananthapuramORCID 0000-0003-1835-6139Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:cell type annotation· 1 Assay:scRNA-seq· 1 Assay:snRNA-seq· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Anne-Marie GalowiD· 1 shared Arnav Lakhdive· 1 shared Kamalakannan VijayaniD· 1 shared Markus WolfieniD· 1 shared Olaf Wolkenhauer AiD· 1 shared Pravin Baskar· 1 shared Robert DavidiD· 1 shared Sahoo Parnika· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Anne-Marie GalowORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintAug 3, 2026

Genome-scale prediction of context-specific synthetic lethality beyond protein interaction networks

Pravin Baskar, Sahoo Parnika, Arnav Lakhdive…·Kamalakannan Vijayan

This paper introduces SLxGO, a network-independent machine learning framework for predicting context-specific synthetic lethal gene pairs, achieving superior performance and validating interactions experimentally.

DOI 10.64898/2026.07.31.742101

humanmachine learning (classical)

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BioinformaticsBMC BioinformaticsPeer-reviewedNov 19, 2021

Automated annotation of rare-cell types from single-cell RNA-sequencing data through synthetic oversampling

Saptarshi Bej, Anne-Marie Galow, Robert David…·Olaf Wolkenhauer A

The paper introduces a synthetic oversampling method to annotate rare cell types in single-cell RNA-sequencing data, demonstrating high accuracy and low false positives in two use cases.

28 citations

humansnRNA-seq

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