Author

Boris Muzellec

ORCID 0000-0002-1035-7017Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Organism:human· 1

Frequent Co-Authors

Maria T. TeleńczukiD· 1 shared Mathieu AndreuxiD· 1 shared Tanguy MarchandiD· 1 shared Ulysse Marteau-Ferey· 1 shared Vincent CabeliiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioinformatics

Maria T. TeleńczukORCID

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2 papers

Recent·Most cited

FedPyDESeq2: a federated framework for bulk RNA-seq differential expression analysis

Boris Muzellec, Ulysse Marteau-Ferey, Tanguy Marchand

FedPyDESeq2 enables privacy-preserving differential expression analysis on siloed bulk RNA-seq data, achieving results comparable to pooled data analysis and outperforming meta-analysis approaches.

bioRxiv · Dec 6, 2024 · PreprintBioinformatics

PyDESeq2: a python package for bulk RNA-seq differential expression analysis

Boris Muzellec, Maria T. Teleńczuk, Vincent Cabeli, Mathieu Andreux

PyDESeq2 provides a Python implementation of DESeq2 for bulk RNA-seq differential expression analysis, offering improved precision and performance on large datasets like TCGA.

Bioinformatics · Sep 1, 2023Peer-reviewedBioinformatics