Author

Aurélie Pirayre

IFP Énergies nouvellesORCID 0000-0003-0112-3689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Research Focus:gene regulatory network inference· 3 Approach:statistical model· 3 Organism:E. coli· 2 Organism:fungi (other)· 1 Approach:graph neural network· 1

Frequent Co-Authors

Camille CouprieiD· 2 shared Frédérique BidardiD· 2 shared Laurent C. DuvaliD· 2 shared Antoine MargeotiD· 1 shared Corinne BlugeoniD· 1 shared Cyril Firmo· 1 shared Etienne JourdieriD· 1 shared J.-C. PesquetiD· 1 shared

Activity by Year

2015-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Camille CouprieORCID

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3 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedDec 1, 2020

Glucose-lactose mixture feeds in industry-like conditions: a gene regulatory network analysis on the hyperproducing Trichoderma reesei strain Rut-C30

Aurélie Pirayre, Laurent C. Duval, Corinne Blugeon…·Frédérique Bidard

The paper analyzes gene regulatory networks in Trichoderma reesei under glucose-lactose mixtures to understand cellulase production regulation.

13 citations

fungi (other)bulk RNA-seq

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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

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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