Author

Patricia Thébault

Centre National de la Recherche ScientifiqueORCID 0000-0003-2276-4573Unclaimed 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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Approach:statistical model· 2 Research Focus:batch correction / integration· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Aarón Ayllón-BeníteziD· 1 shared Élodie DarboiD· 1 shared Fleur Mougin AiD· 1 shared Galadriel BrièreiD· 1 shared Raluca UricaruiD· 1 shared Romain BourquiiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Aarón Ayllón-BenítezORCID

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2 papers

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedJul 6, 2021

Consensus clustering applied to multi-omic disease subtyping

Galadriel Brière, Élodie Darbo, Patricia Thébault, Raluca Uricaru

The paper introduces ClustOmics, a consensus clustering tool for multi-omic data integration, showing it produces robust consensus clusters across ten cancer types.

101 citationstop 2%

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedMar 14, 2020

GSAn: an alternative to enrichment analysis for annotating gene sets

Aarón Ayllón-Benítez, Romain Bourqui, Patricia Thébault, Fleur Mougin A

GSAn annotates gene sets by reducing Gene Ontology terms using semantic similarity, improving coverage over traditional enrichment methods.

17 citations

statistical modelgene regulatory network inference

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