| Data-based filtering for replicated high-throughput transcriptome sequencing experiments A Rau, M Gallopin, G Celeux, F Jaffrézic Bioinformatics 29 (17), 2146-2152, 2013 | 180 | 2013 |
| A hierarchical poisson log-normal model for network inference from rna sequencing data M Gallopin, A Rau, F Jaffrézic PloS one 8 (10), e77503, 2013 | 42 | 2013 |
| Block-diagonal covariance selection for high-dimensional Gaussian graphical models E Devijver, M Gallopin Journal of the American Statistical Association 113 (521), 306-314, 2018 | 38 | 2018 |
| DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition J Audoux, N Philippe, R Chikhi, M Salson, M Gallopin, M Gabriel, ... Genome biology 18 (1), 1-15, 2017 | 38 | 2017 |
| Nonlinear network-based quantitative trait prediction from transcriptomic data E Devijver, M Gallopin, E Perthame arXiv preprint arXiv:1701.07899, 2017 | 9 | 2017 |
| A model selection criterion for model-based clustering of annotated gene expression data. M Gallopin, G Celeux, F Jaffrézic, A Rau Statistical Applications in Genetics and Molecular Biology 14 (5), 413-2, 2015 | 5 | 2015 |
| Classification et inférence de réseaux pour les données RNA-seq M Gallopin Université Paris-Saclay, 2015 | 4 | 2015 |
| Transformation des données et comparaison de modèles pour la classification des données RNA-seq M Gallopin, A Rau, G Celeux, F Jaffrézic 47emes Journées de Statistique de la SFdS, 2015 | 2 | 2015 |
| Exhaustive capture of biological variation in RNA-seq data through k-mer decomposition J Audoux, N Philippe, R Chikhi, M Salson, M Gallopin, M Gabriel, ... bioRxiv, 122937, 2017 | | 2017 |
| La statistique non asymptotique au service de la génétique. E Devijver, M Gallopin | | |
Andrea RauResearch Scientist, INRAEBestätigte E-Mail-Adresse bei inrae.fr
