Author

Camille Couprie

Meta (United States)ORCID 0000-0002-2549-3038Unclaimed 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:E. coli· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Approach:graph neural network· 1

Frequent Co-Authors

Aurélie PirayreiD· 2 shared Frédérique BidardiD· 1 shared J.-C. PesquetiD· 1 shared Jean-Christophe Pesquet· 1 shared Laurent C. DuvaliD· 1 shared Laurent Duval· 1 shared

Activity by Year

2015-2017 · peak 1/yr

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6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Aurélie PirayreORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Transactions on Computational Biology and BioinformaticsPeer-reviewedMar 28, 2017

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement

Aurélie Pirayre, Camille Couprie, Laurent C. Duval, J.-C. Pesquet

BRANE Clust improves gene regulatory network inference by incorporating clustering information, showing better performance on DREAM datasets and E. coli network analysis.

22 citations

E. colibulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivNov 20, 2015

BRANE Cut: Biologically-Related A priori Network Enhancement with Graph cuts for Gene Regulatory Network Inference

Aurélie Pirayre, Camille Couprie, Frédérique Bidard…·Jean-Christophe Pesquet

BRANE Cut improves gene regulatory network inference by incorporating biological constraints through graph cuts, outperforming existing methods on both simulated and real datasets.

DOI 10.1186/s12859-015-0754-2

E. colibulk RNA-seq

𝕏 PostBluesky