Author

Fabien Reyal

InsermORCID 0000-0002-2318-3589Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

Anne‐Sophie HamyiD· 2 shared J. AbécassisiD· 2 shared Jean‐Philippe VertiD· 2 shared Thomas WalteriD· 2 shared Alice PinheiroiD· 1 shared Anne Vincent‐SalomoniD· 1 shared Benjamin SadaccaiD· 1 shared Cécile LaurentiD· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Anne‐Sophie HamyORCID

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Author profile →

4 papers

Recent·Most cited

Neural network for the prediction of treatment response in triple negative breast cancer

Peter Naylor, Tristan Lazard, Guillaume Bataillon, Marick E Lae, Anne Vincent‐Salomon, Anne‐Sophie Hamy, Fabien Reyal, Thomas Walter

The paper proposes a modified cross-validation approach and a new neural network architecture for treatment response prediction in small Triple Negative Breast Cancer cohorts.

bioRxiv · Jan 31, 2022 · PreprintBioinformatics

CloneSig can jointly infer intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data

J. Abécassis, Fabien Reyal, Jean‐Philippe Vert

CloneSig jointly infers intra-tumor heterogeneity and mutational signature activity in bulk tumor sequencing data, outperforming existing methods in scenarios with varying mutational signature distributions across clones.

Nature Communications · Sep 9, 2021Peer-reviewedBioinformatics

Assessing reliability of intra-tumor heterogeneity estimates from single sample whole exome sequencing data

J. Abécassis, Anne‐Sophie Hamy, Cécile Laurent, Benjamin Sadacca, Hélène Bonsang‐Kitzis, Fabien Reyal, Jean‐Philippe Vert

This study evaluates six methods for estimating tumor heterogeneity from single-sample WES data and finds significant method variability and limited prognostic value.

PLoS ONE · Nov 7, 2019Peer-reviewedBioinformatics

Domain-invariant features for mechanism of action prediction in a multi-cell-line drug screen

Joseph C Boyd, Alice Pinheiro, Elaine Del Nery, Fabien Reyal, Thomas Walter

The paper predicts drug mechanism of action across multiple cell lines using domain-invariant features from multitask autoencoders.

Bioinformatics · Oct 8, 2019Peer-reviewedBioinformatics