Author

Samiran Sinha

Texas A&M UniversityORCID 0000-0002-8525-4741Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Jack P. DodsoniD· 1 shared Rance NaultiD· 1 shared Satabdi SahaiD· 1 shared Sudin BhattacharyaiD· 1 shared Tapabrata MaitiiD· 1 shared Tim R. ZacharewskiiD· 1 shared Wesley FletcheriD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 15 mutual co-author links

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1 shared paperGenomics

Jack P. DodsonORCID

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2 papers

Recent·Most cited

Benchmark of biomarker identification and prognostic modeling methods on diverse censored data

Wesley Fletcher, Samiran Sinha

The paper benchmarks biomarker identification and prognostic modeling methods on censored survival data, finding that CoxBoost and Adaptive LASSO perform best across multiple metrics.

PLoS ONE · Jun 16, 2026Peer-reviewedBioinformatics

Benchmarking of a Bayesian single cell RNAseq differential gene expression test for dose-response study designs.

Rance Nault, Satabdi Saha, Sudin Bhattacharya, Jack P. Dodson, Samiran Sinha, Tapabrata Maiti, Tim R. Zacharewski

This study benchmarks Bayesian and frequentist methods for differential gene expression analysis in dose-response scRNA-seq studies, finding that multi-group methods outperform two-group approaches.

Nucleic Acids Research · Jan 7, 2022Peer-reviewedGenomics