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Bivariate Negative Binomial Mixture Model for the analysis of RNA-seq data

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Statistics [stat] Life Sciences [q-bio] Quantitative Methods [q-bio.QM]

Nicolas VERGNE  : Connect in order to contact the contributor

https://hal-normandie-univ.archives-ouvertes.fr/hal-02337246

Submitted on : Tuesday, October 29, 2019-1:18:23 PM

Last modification on : Monday, November 7, 2022-2:44:08 PM

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hal-02337246 , version 1 (29-10-2019)

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  • HAL Id : hal-02337246 , version 1

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Mathilde Sautreuil, Nicolas Vergne, Antoine Channarond, Angelina Roche, Gaëlle Chagny, et al.. Bivariate Negative Binomial Mixture Model for the analysis of RNA-seq data. JOBIM, 2017, Lille, France. ⟨hal-02337246⟩

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AGROPARISTECH CNRS UNIV-DAUPHINE INRA LMRS CEREMADE COMUE-NORMANDIE MIA-PARIS PSL UNIV-PARIS-SACLAY UNIROUEN INRAE GS-COMPUTER-SCIENCE MATHNUM
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