Author

May Taha

Centre National de la Recherche ScientifiqueORCID 0000-0001-9592-449XUnclaimed 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:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

Charles‐Henri LecellieriD· 1 shared Chloé BessièreiD· 1 shared Florent PetitpreziD· 1 shared Jean‐Michel MariniD· 1 shared Jimmy VandeliD· 1 shared Laurent BréhéliniD· 1 shared Sophie LèbreiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Charles‐Henri LecellierORCID

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1 paper

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedJan 2, 2018

Gene nucleotide composition accurately predicts expression and is linked to topological chromatin domains

Chloé Bessière, May Taha, Florent Petitprez…·Charles‐Henri Lecellier

The paper develops a sequence-based method to predict gene expression accurately, showing that nucleotide composition and regulatory region contributions are key factors.

15 citations

DNA methylationChIP-seq

𝕏 PostBluesky