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Poster communications

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

Mathilde Sautreuil 1 Nicolas Vergne 1 Antoine Channarond 1 Angelina Roche 2 Gaëlle Chagny 1 Caroline Bérard 3 
1 LMRS - Laboratoire de Mathématiques Raphaël Salem
2 CEREMADE - CEntre de REcherches en MAthématiques de la DEcision
3 MIA-Paris - Mathématiques et Informatique Appliquées
Document type :
Poster communications
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02337246
Contributor : Nicolas VERGNE Connect in order to contact the contributor
Submitted on : Tuesday, October 29, 2019 - 1:18:23 PM
Last modification on : Tuesday, January 18, 2022 - 3:24:30 PM

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  • HAL Id : hal-02337246, version 1

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

Citation

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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