Differential expression analysis for sequence count data, Genome Biology, vol.11, issue.R106, pp.1-28, 2010. ,
Statistical design and analysis of RNA-Seq data, Genetics, vol.185, pp.1-12, 2010. ,
A Two-Stage Poisson Model for Testing RNA-Seq Data, Statistical Applications in Genetics and Molecular Biology, vol.10, issue.1, pp.1-26, 2011. ,
DOI : 10.2202/1544-6115.1627
Assessing a mixture model for clustering with the integrated completed likelihood, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.719-725, 2000. ,
DOI : 10.1109/34.865189
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models, Computational Statistics & Data Analysis, vol.41, issue.3-4, pp.561-575, 2003. ,
DOI : 10.1016/S0167-9473(02)00163-9
Large-sample results for optimization-based clustering methods, Journal of Classification, vol.4, issue.4, pp.31-44, 1991. ,
DOI : 10.1007/BF02616246
Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments, BMC Bioinformatics, vol.11, issue.1, 2010. ,
DOI : 10.1186/1471-2105-11-94
Clustering analysis of SAGE data using a Poisson approach, Genome Biology, vol.5, issue.7, p.51, 2004. ,
DOI : 10.1186/gb-2004-5-7-r51
A dendrite method for cluster analysis, Communications in Statistics - Theory and Methods, vol.3, issue.1, pp.1-27, 1974. ,
DOI : 10.1080/03610927408827101
A classification EM algorithm for clustering and two stochastic versions, Computational Statistics & Data Analysis, vol.14, issue.3, pp.315-332, 1992. ,
DOI : 10.1016/0167-9473(92)90042-E
URL : https://hal.archives-ouvertes.fr/inria-00075196
Maximum likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, Series B (Methodological), vol.39, issue.1, pp.1-38, 1977. ,
Cluster analysis and display of genome-wide expression patterns, Proceedings of the National Academy of Sciences, vol.95, issue.25, pp.95-14863, 1998. ,
DOI : 10.1073/pnas.95.25.14863
Transcriptional characterization of glioblastoma stem cell lines using tag sequencing, 2010. ,
Comparing partitions, Journal of Classification, vol.78, issue.1, pp.193-218, 1985. ,
DOI : 10.1007/BF01908075
Cluster analysis for gene expression data: a survey, IEEE Transactions on Knowledge and Data Engineering, vol.16, issue.11, pp.1370-1386, 2004. ,
DOI : 10.1109/TKDE.2004.68
An EM algorithm for multivariate Poisson distribution and related models, Journal of Applied Statistics, vol.30, issue.1, pp.63-77, 2003. ,
DOI : 10.1080/0266476022000018510
Measuring similarities between gene expression profiles through new data transformations, BMC Bioinformatics, vol.8, issue.29, 2007. ,
Some methods for classification and analysis of multivariate observations, Proceedings of the 5th Berkeley Symposium on Mathematical Statistics and Probability, pp.281-297, 1967. ,
Finite Mixture Models, 2000. ,
DOI : 10.1002/0471721182
Analyzing Microarray Gene Expression Data, 2004. ,
DOI : 10.1002/047172842X
Mapping and quantifying mammalian transcriptomes by RNA-Seq, Nature Methods, vol.14, issue.7, pp.621-628, 2008. ,
DOI : 10.1038/nmeth.1226
Transcript length bias in RNA-seq data confounds systems biology, Biology Direct, vol.4, issue.1, 2009. ,
DOI : 10.1186/1745-6150-4-14
A scaling normalization method for differential expression analysis of RNA-seq data, Genome Biology, vol.11, issue.3, p.11, 2010. ,
DOI : 10.1186/gb-2010-11-3-r25
Moderated statistical tests for assessing differences in tag abundance, Bioinformatics, vol.23, issue.21, pp.2881-2887, 2007. ,
DOI : 10.1093/bioinformatics/btm453
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
RNA-Seq Atlas of Glycine max: A guide to the soybean transcriptome, BMC Plant Biology, vol.10, issue.1, p.10, 2010. ,
DOI : 10.1186/1471-2229-10-160
Model-based clustering for RNA-seq data, Bioinformatics, vol.30, issue.2, 2011. ,
DOI : 10.1093/bioinformatics/btt632
Estimating the number of clusters in a data set via the gap statistic, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.63, issue.2, pp.411-423, 2001. ,
DOI : 10.1111/1467-9868.00293
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation, Nature Biotechnology, vol.25, issue.5, pp.511-518, 2010. ,
DOI : 10.1038/nbt.1621
Hierarchical Grouping to Optimize an Objective Function, Journal of the American Statistical Association, vol.58, issue.301, pp.236-244, 1963. ,
DOI : 10.1007/BF02289263
Classification and clustering of sequencing data using a Poisson model, The Annals of Applied Statistics, vol.5, issue.4, 2011. ,
DOI : 10.1214/11-AOAS493
Model-based clustering and data transformations for gene expression data, Bioinformatics, vol.17, issue.10, pp.17-977, 2001. ,
DOI : 10.1093/bioinformatics/17.10.977