Author

Rajarshi Mukherjee

Harvard UniversityORCID 0000-0002-5761-8958Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Chuhsing Kate HsiaoiD· 2 shared Yu‐Jyun HuangiD· 2 shared Chi-Hsuan Ho· 1 shared Ying-Ju LaiiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Chuhsing Kate HsiaoORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 30, 2022

Probabilistic Edge Inference of Gene Networks with Bayesian Markov Random Field Modelling

Yu‐Jyun Huang, Rajarshi Mukherjee, Chuhsing Kate Hsiao

This study introduces a Bayesian Markov Random Field model to infer gene network edges, considering both existence and strength, and demonstrates its performance on glioblastoma data.

DOI 10.1101/2022.07.30.501645

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintFeb 1, 2021

The impact of distributional assumptions in gene-set and pathway analysis: how far can it go wrong?

Chi-Hsuan Ho, Yu‐Jyun Huang, Ying-Ju Lai…·Chuhsing Kate Hsiao

This study evaluates the impact of multivariate normality assumptions in gene-set analysis, finding that non-normality affects performance, especially in mixed tumor subtypes.

DOI 10.1101/2021.02.01.429279

humanbulk RNA-seq

𝕏 PostBluesky