Author

Olivier Collier

Centre National de la Recherche ScientifiqueORCID 0000-0002-9921-3510Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Véronique StoveniD· 2 shared Clara NahmiasiD· 1 shared Gwenn GuichaouaiD· 1 shared Jean‐Philippe VertiD· 1 shared Sylvie Rodrigues-Ferreira· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersCancer Biology

Véronique StovenORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 26, 2026

Transcriptomic profile of MTUS1-low TNBC reveals candidate therapeutic strategies.

Gwenn Guichaoua, Olivier Collier, Sylvie Rodrigues-Ferreira…·Véronique Stoven

This study identifies proliferation and stress-adaptation mechanisms in MTUS1-low TNBC and proposes therapeutic strategies based on CRISPR-derived dependency signals.

DOI 10.64898/2026.05.22.727134

humanbulk RNA-seq

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BioinformaticsPLoS Computational BiologyPeer-reviewedSep 30, 2019

LOTUS: a Single- and Multitask Machine Learning Algorithm for the Prediction of Cancer Driver Genes

Olivier Collier, Véronique Stoven, Jean‐Philippe Vert

LOTUS predicts cancer driver genes by integrating mutation and interaction data, outperforming existing methods across multiple cancer types.

57 citations

machine learning (classical)statistical model

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