Author

Anne‐Sophie Hamy

InsermORCID 0000-0003-4430-3022Unclaimed 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· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:imaging· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Fabien ReyaliD· 2 shared Anne Vincent‐SalomoniD· 1 shared Benjamin SadaccaiD· 1 shared Cécile LaurentiD· 1 shared Guillaume BatailloniD· 1 shared Hélène Bonsang‐KitzisiD· 1 shared J. AbécassisiD· 1 shared Jean‐Philippe VertiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersBioinformatics

Fabien ReyalORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 31, 2022

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

Peter Naylor, Tristan Lazard, Guillaume Bataillon…·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.

3 citations

humanimaging

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedNov 7, 2019

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

J. Abécassis, Anne‐Sophie Hamy, Cécile Laurent…·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.

22 citations

humanwhole-exome sequencing

𝕏 PostBluesky