| A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis MA Dillies, A Rau, J Aubert, C Hennequet-Antier, M Jeanmougin, ... Briefings in bioinformatics 14 (6), 671-683, 2013 | 1734 | 2013 |
| Data-based filtering for replicated high-throughput transcriptome sequencing experiments A Rau, M Gallopin, G Celeux, F Jaffrézic Bioinformatics 29 (17), 2146-2152, 2013 | 250 | 2013 |
| Differential meta-analysis of RNA-seq data from multiple studies A Rau, G Marot, F Jaffrézic BMC bioinformatics 15, 1-10, 2014 | 161 | 2014 |
| Multi-species annotation of transcriptome and chromatin structure in domesticated animals S Foissac, S Djebali, K Munyard, N Vialaneix, A Rau, K Muret, D Esquerré, ... BMC biology 17, 1-25, 2019 | 125 | 2019 |
| Contribution of mammary epithelial cells to the immune response during early stages of a bacterial infection to Staphylococcus aureus P Brenaut, L Lefèvre, A Rau, D Laloë, G Pisoni, P Moroni, C Bevilacqua, ... Veterinary research 45, 1-20, 2014 | 102 | 2014 |
| Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows Y Ramayo‐Caldas, L Zingaretti, M Popova, J Estellé, A Bernard, N Pons, ... Journal of Animal Breeding and Genetics 137 (1), 49-59, 2020 | 88 | 2020 |
| Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models A Rau, C Maugis-Rabusseau, ML Martin-Magniette, G Celeux Bioinformatics 31 (9), 1420-1427, 2015 | 88 | 2015 |
| Transformation and model choice for RNA-seq co-expression analysis A Rau, C Maugis-Rabusseau Briefings in bioinformatics 19 (3), 425-436, 2018 | 87 | 2018 |
| An empirical Bayesian method for estimating biological networks from temporal microarray data A Rau, F Jaffrézic, JL Foulley, RW Doerge Statistical Applications in Genetics and Molecular Biology 9 (1), 2010 | 83 | 2010 |
| Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis G Rigaill, S Balzergue, V Brunaud, E Blondet, A Rau, O Rogier, J Caius, ... Briefings in bioinformatics 19 (1), 65-76, 2018 | 62 | 2018 |
| Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data A Godichon-Baggioni, C Maugis-Rabusseau, A Rau Journal of Applied Statistics 46 (1), 47-65, 2019 | 59 | 2019 |
| 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 |
| A comprehensive overview of bull sperm-borne small non-coding RNAs and their diversity across breeds E Sellem, S Marthey, A Rau, L Jouneau, A Bonnet, JP Perrier, S Fritz, ... Epigenetics & Chromatin 13, 1-28, 2020 | 48 | 2020 |
| Joint estimation of causal effects from observational and intervention gene expression data A Rau, F Jaffrézic, G Nuel BMC systems biology 7, 1-12, 2013 | 45 | 2013 |
| Domestication rewired gene expression and nucleotide diversity patterns in tomato C Sauvage, A Rau, C Aichholz, J Chadoeuf, G Sarah, M Ruiz, S Santoni, ... The Plant Journal 91 (4), 631-645, 2017 | 43 | 2017 |
| Cellular reprogramming for successful CNS axon regeneration is driven by a temporally changing cast of transcription factors SP Dhara, A Rau, MJ Flister, NM Recka, MD Laiosa, PL Auer, AJ Udvadia Scientific reports 9 (1), 14198, 2019 | 41 | 2019 |
| Overview of the French operational network for in situ observation of PM chemical composition and sources in urban environments (CARA program) O Favez, S Weber, JE Petit, LY Alleman, A Albinet, V Riffault, B Chazeau, ... Atmosphere 12 (2), 207, 2021 | 38 | 2021 |
| Compositional bias in naïve and chemically-modified phage-displayed libraries uncovered by paired-end deep sequencing B He, KF Tjhung, NJ Bennett, Y Chou, A Rau, J Huang, R Derda Scientific reports 8 (1), 1214, 2018 | 37 | 2018 |
| Transcriptome profiling of the honeybee parasite Varroa destructor provides new biological insights into the mite adult life cycle F Mondet, A Rau, C Klopp, M Rohmer, D Severac, Y Le Conte, C Alaux BMC genomics 19, 1-19, 2018 | 35 | 2018 |
| Reverse engineering gene regulatory networks using approximate Bayesian computation A Rau, F Jaffrézic, JL Foulley, RW Doerge Statistics and Computing, 2011 | 29 | 2011 |
Denis LaloëGABI - INRAVerified email at inrae.fr
