Author

Jérôme Audoux

Inserm

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Approach:machine learning (classical)· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Daniel GautheretiD· 2 shared Nicolas PhilippeiD· 2 shared Thérèse CommesiD· 2 shared Alexandre Boulat· 1 shared Anne-Laure Bougé· 1 shared Anthony Boureux· 1 shared Benoit Guibert· 1 shared Chloé BessièreiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Daniel GautheretORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineCurrent Issues in Molecular BiologyPeer-reviewedJul 11, 2026

Clinical Evaluation of an AI System for Streamlined Variant Interpretation in Genetic Testing

Jiri Ruzicka, Jean‐Marie Ravel, Jérôme Audoux…·Laurent Mesnard

DiagAI, a machine-learning system, improves variant interpretation in genetic testing by prioritizing causal variants, outperforming existing tools with higher diagnostic yield and shorter variant shortlists.

DOI 10.3390/cimb48070706

humanwhole-exome sequencing

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BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedJun 23, 2021

Kmerator Suite: design of specific k-mer signatures andautomatic metadata discovery in large RNA-Seq datasets.

Sébastien Riquier, Chloé Bessière, Benoit Guibert…·Thérèse Commes

The paper introduces Kmerator Suite, a set of tools for extracting k-mer signatures and inferring metadata from RNA-seq datasets, showing high accuracy in gene expression quantification and metadata discovery.

16 citations

humanbulk RNA-seq

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BioinformaticsGenome biologyPeer-reviewedDec 1, 2017

Exhaustive capture of biological variation in RNA-seq data through k-mer decomposition

Jérôme Audoux, Nicolas Philippe, Rayan Chikhi…·Daniel Gautheret

This paper introduces DE-kupl, a k-mer-based method to capture RNA variation without a reference, identifying novel transcripts and biological events from RNA-seq data.

82 citations

humanbulk RNA-seq

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