Author

Léa Kaufmann

Institute for Research in Immunology and CancerORCID 0000-0001-6466-6811Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Elise Carraz-BillatiD· 1 shared Lola Le BretoniD· 1 shared Quentin FournieriD· 1 shared Sébastien LemieuxiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Elise Carraz-BillatORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintSep 29, 2026

A biological-response compound representation allows chemical perturbation prediction across cell lines

Léa Kaufmann, Lola Le Breton, Elise Carraz-Billat…·Sébastien Lemieux

The paper introduces BioPert, a framework that uses gene expression responses to predict chemical perturbations across cell lines, achieving higher accuracy than chemical structure-based methods.

DOI 10.64898/2026.09.28.755146

humanbulk RNA-seq

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