Rau A - Search Results

1

A model selection criterion for model-based clustering of annotated gene expression data.

Gallopin M, Celeux G, Jaffrézic F, Rau A. Gallopin M, et al. Among authors: rau a. Stat Appl Genet Mol Biol. 2015 Nov;14(5):413-28. doi: 10.1515/sagmb-2014-0095. Stat Appl Genet Mol Biol. 2015. PMID: 26461845 Free article.

2

An empirical Bayesian method for estimating biological networks from temporal microarray data.

Rau A, Jaffrézic F, Foulley JL, Doerge RW. Rau A, et al. Stat Appl Genet Mol Biol. 2010;9:Article 9. doi: 10.2202/1544-6115.1513. Epub 2010 Jan 15. Stat Appl Genet Mol Biol. 2010. PMID: 20196759

3

A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis.

Dillies MA, Rau A, Aubert J, Hennequet-Antier C, Jeanmougin M, Servant N, Keime C, Marot G, Castel D, Estelle J, Guernec G, Jagla B, Jouneau L, Laloë D, Le Gall C, Schaëffer B, Le Crom S, Guedj M, Jaffrézic F; French StatOmique Consortium. Dillies MA, et al. Among authors: rau a. Brief Bioinform. 2013 Nov;14(6):671-83. doi: 10.1093/bib/bbs046. Epub 2012 Sep 17. Brief Bioinform. 2013. PMID: 22988256

4

Data-based filtering for replicated high-throughput transcriptome sequencing experiments.

Rau A, Gallopin M, Celeux G, Jaffrézic F. Rau A, et al. Bioinformatics. 2013 Sep 1;29(17):2146-52. doi: 10.1093/bioinformatics/btt350. Epub 2013 Jul 2. Bioinformatics. 2013. PMID: 23821648 Free PMC article.

5

A hierarchical poisson log-normal model for network inference from RNA sequencing data.

Gallopin M, Rau A, Jaffrézic F. Gallopin M, et al. Among authors: rau a. PLoS One. 2013 Oct 17;8(10):e77503. doi: 10.1371/journal.pone.0077503. eCollection 2013. PLoS One. 2013. PMID: 24147011 Free PMC article.

6

Joint estimation of causal effects from observational and intervention gene expression data.

Rau A, Jaffrézic F, Nuel G. Rau A, et al. BMC Syst Biol. 2013 Oct 31;7:111. doi: 10.1186/1752-0509-7-111. BMC Syst Biol. 2013. PMID: 24172639 Free PMC article.

7

Differential meta-analysis of RNA-seq data from multiple studies.

Rau A, Marot G, Jaffrézic F. Rau A, et al. BMC Bioinformatics. 2014 Mar 29;15:91. doi: 10.1186/1471-2105-15-91. BMC Bioinformatics. 2014. PMID: 24678608 Free PMC article.

8

Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.

Rau A, Maugis-Rabusseau C, Martin-Magniette ML, Celeux G. Rau A, et al. Bioinformatics. 2015 May 1;31(9):1420-7. doi: 10.1093/bioinformatics/btu845. Epub 2015 Jan 5. Bioinformatics. 2015. PMID: 25563332

RESULTS: In this work, we focus on the question of clustering DGE profiles as a means to discover groups of co-expressed genes. We propose a Poisson mixture model using a rigorous framework for parameter estimation as well as the choice of the appropriate num …

RESULTS: In this work, we focus on the question of clustering DGE profiles as a means to discover groups of co-expressed genes. We pr …

9

Identification of marginal causal relationships in gene networks from observational and interventional expression data.

Monneret G, Jaffrézic F, Rau A, Zerjal T, Nuel G. Monneret G, et al. Among authors: rau a. PLoS One. 2017 Mar 16;12(3):e0171142. doi: 10.1371/journal.pone.0171142. eCollection 2017. PLoS One. 2017. PMID: 28301504 Free PMC article.

10

Genetic and transcriptomic analyses provide new insights on the early antiviral response to VHSV in resistant and susceptible rainbow trout.

Verrier ER, Genet C, Laloë D, Jaffrezic F, Rau A, Esquerre D, Dechamp N, Ciobotaru C, Hervet C, Krieg F, Jouneau L, Klopp C, Quillet E, Boudinot P. Verrier ER, et al. Among authors: rau a. BMC Genomics. 2018 Jun 19;19(1):482. doi: 10.1186/s12864-018-4860-1. BMC Genomics. 2018. PMID: 29921219 Free PMC article.

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