Data-based filtering for replicated high-throughput transcriptome sequencing experiments A Rau, M Gallopin, G Celeux, F Jaffrézic Bioinformatics 29 (17), 2146-2152, 2013 | 251 | 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 | 57 | 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, 1-15, 2017 | 52 | 2017 |
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 | 49 | 2013 |
Reference-free transcriptome exploration reveals novel RNAs for prostate cancer diagnosis M Pinskaya, Z Saci, M Gallopin, M Gabriel, HTN Nguyen, V Firlej, ... Life science alliance 2 (6), 2019 | 20 | 2019 |
The X-ray fluorescence screening of multiple elements in herbarium specimens from the Neotropical region reveals new records of metal accumulation in plants C Belloeil, P Jouannais, C Malfaisan, R Reyes Fernández, S Lopez, ... Metallomics 13 (8), mfab045, 2021 | 17 | 2021 |
Reference-free transcriptome signatures for prostate cancer prognosis HTN Nguyen, H Xue, V Firlej, Y Ponty, M Gallopin, D Gautheret BMC cancer 21, 1-12, 2021 | 13 | 2021 |
Nonlinear network-based quantitative trait prediction from transcriptomic data E Devijver, M Gallopin, E Perthame arXiv preprint arXiv:1701.07899, 2017 | 13 | 2017 |
Working with Omics Data: An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science T Poinsignon, P Poulain, M Gallopin, G Lelandais Machine Learning for Brain Disorders, 313-330, 2023 | 5 | 2023 |
A Phylogenetic Framework to Simulate Synthetic Interspecies RNA-Seq Data P Bastide, C Soneson, DB Stern, O Lespinet, M Gallopin Molecular Biology and Evolution 40 (1), msac269, 2023 | 5 | 2023 |
Classification et inférence de réseaux pour les données RNA-seq M Gallopin Université Paris Saclay (COmUE), 2015 | 5 | 2015 |
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 |
3D models of fungal chromosomes to enhance visual integration of omics data T Poinsignon, M Gallopin, P Grognet, F Malagnac, G Lelandais, P Poulain NAR Genomics and Bioinformatics 5 (4), lqad104, 2023 | 3 | 2023 |
Nonlinear network-based quantitative trait prediction from biological data M Blein-Nicolas, E Devijver, M Gallopin, E Perthame Journal of the Royal Statistical Society Series C: Applied Statistics 73 (3 …, 2024 | 2 | 2024 |
The contribution of uncharted RNA sequences to tumor identity in lung adenocarcinoma Y Wang, H Xue, M Aglave, A Lainé, M Gallopin, D Gautheret NAR cancer 4 (1), zcac001, 2022 | 2 | 2022 |
Additional insights into the organization of transcriptional regulatory modules based on a 3D model of the Saccharomyces cerevisiae genome T Poinsignon, M Gallopin, JM Camadro, P Poulain, G Lelandais BMC Research Notes 15 (1), 67, 2022 | 2 | 2022 |
Benchmark of Differential Gene Expression Analysis Methods for Inter-species RNA-Seq Data using a Phylogenetic Simulation Framework P Bastide, C Soneson, O Lespinet, M Gallopin bioRxiv, 2022.01. 21.476612, 2022 | 2 | 2022 |
Detection of orthologous genes with expression shifts linked to nickel hyperaccumulation across Eudicots M Gallopin, C Drevet, VSG de la Torre, S Jelassi, M Michel, C Ducos, ... bioRxiv, 2022.09. 28.509953, 2022 | 1 | 2022 |
Transformation des données et comparaison de modèles pour la classification des données RNA-seq M Gallopin, A Rau, G Celeux, F Jaffrezic 47èmes Journées de Statistique de la SFdS, 2015 | 1 | 2015 |
3D modeling of Hi-C contacts: seeing the spatial organization of fungal chromosomes T Poinsignon, M Gallopin, P Grognet, F Malagnac, G Lelandais, P Poulain 16th European Conference on Fungal Genetics, 2023 | | 2023 |