Author

R. Romero

Centre National de la Recherche ScientifiqueORCID 0000-0002-3573-988XUnclaimed ORCID profile · follow to get notified of new preprints

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R. Romero13 papers

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

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Charles‐Henri LecellieriD· 1 shared Christophe MenichelliiD· 1 shared Jean‐Michel MariniD· 1 shared Laurent BréhéliniD· 1 shared Sophie LèbreiD· 1 shared

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2022-2022 · peak 1/yr

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Charles‐Henri LecellierORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintAug 16, 2022

Systematic analysis of the genomic features involved in the binding preferences of transcription factors

R. Romero, Christophe Menichelli, Jean‐Michel Marin…·Laurent Bréhélin

This paper introduces TFscope, a machine learning method to identify genomic features explaining binding differences between TFs in ChIP-seq experiments, showing that co-factors and nucleotide environment often drive differences in cell types or treatments, while core motif differences are key for paralogous TFs.

1 citation

ChIP-seqmachine learning (classical)