A two-stage Poisson model for testing RNA-seq data, Statistical Applications in Genetics and Molecular, vol.10, p.26, 2011. ,
Differential expression analysis for sequence count data, Genome Biology, vol.11, p.106, 2010. ,
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data, Bioinformatics, vol.26, pp.139-179, 2010. ,
Comparative study of RNA-seq and Microarray-derived coexpression networks in Arabidopsis thaliana, Bioinformatics, vol.29, pp.717-741, 2013. ,
Canonical correlation analysis for RNA-seq co-expression networks, Nucleic Acids Research, vol.41, p.95, 2013. ,
Utilizing RNA-Seq data for de novo coexpression network inference, Bioinformatics, vol.28, pp.1592-1599, 2012. ,
Sparse inverse covariance estimation with the graphical lasso, Biostatistics, vol.9, pp.432-441, 2008. ,
High-dimensional graphs and variable selection with the lasso, The Annals of Statistics, vol.34, pp.1436-1462, 2006. ,
Utilizing RNA-Seq Data for Cancer Network Inference, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS, pp.1-4, 2012. ,
An analysis of transformations, Journal of the Royal Statistical Society Series B, vol.26, pp.211-252, 1964. ,
A log-linear graphical model for inferring genetic networks from highthroughput sequencing data, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2012. ,
Normalization, testing, and false discovery rate estimation for RNA sequencing data, Biostatistics, vol.13, pp.523-561, 2012. ,
Multivariate poisson regression with covariance structure, Statistics and Computing, vol.15, pp.255-265, 2005. ,
Graphical Models in Applied Multivariate Statistics, 1990. ,
Graph selection with ggmselect, Statistical Applications in Genetics and Molecular Biology, vol.11, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00401550
Estimating the dimension of a model, The Annals of Statistics, vol.6, pp.461-464, 1978. ,
Regularization paths for generalized linear models via coordinate descent, Journal of statistical software, vol.33, pp.1-22, 2010. ,
GLMMLasso: An algorithm for high-dimensional generalized linear mixed models using L1-penalization, Journal of Computational and Graphical Statistics, pp.1-20, 2012. ,
Minimax risks for sparse regressions: Ultra-high dimensional phenomenon, Electronic Journal of Statistics, vol.6, pp.38-90, 2012. ,
On Random Graphs, Publicationes Mathematicae, vol.6, pp.419-427, 1959. ,
A scaling normalization method for differential expression analysis of RNA-seq data, Genome Biology, vol.11, 2010. ,
An analysis of variance test for normality, Biometrika, vol.52, p.561, 1965. ,
Classification and clustering of sequencing data using a poisson model, The Annals of Applied Statistics, vol.5, pp.2493-2518, 2011. ,
Joint estimation of multiple graphical models, Biometrika, vol.98, pp.1-15, 2011. ,
Gephi: An open source software for exploring and manipulating networks, International AAAI Conference on Weblogs and Social Media, 2009. ,
Involvement of microRNA-451 in resistance of the MCF-7 breast cancer cells to chemotherapeutic drug doxorubicin, Molecular Cancer Therapeutics, vol.7, pp.2152-2161, 2008. ,
Let-7 and miR-200 microRNAs: Guardians against pluripotency and cancer progression, Cell Cycle, vol.8, pp.843-52, 2009. ,
MicroRNAs and the hallmarks of cancer, Oncogene, vol.25, pp.6170-6175, 2006. ,
miR-145 inhibits tumor angiogenesis and growth by N-RAS and VEGF, Cell Cycle, vol.11, pp.2137-2182, 2012. ,
miR-24-2 controls H2AFX expression regardless of gene copy number alteration and induces apoptosis by targeting antiapoptotic gene BCL-2: a potential for therapeutic intervention, Breast Cancer Research, vol.13, p.39, 2011. ,
The miR-200 family and miR-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1, Nature Cell Biology, vol.10, pp.593-601, 2008. ,
The role of microRNAs in cancer, Yale Journal of Biology and Medicine, vol.79, pp.131-171, 2006. ,