Detection in bioinformatics
Last updated: October, 15th 2012
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(2012) Alain Celisse, J.-J. Daudin et Laurent Pierre. Consistency of maximum-likelihood and variational estimators in the Stochastic Block Model. Electron. J. Statist. Volume 6 (2012), 1847-1899.
- (2012) Toby Dylan Hocking,
New sparse methods for clustering and segmentation, with applications to bioinformatics.
Ph.D. dissertation, co-advised by Francis Bach and Jean-Philippe Vert.
(2010) Kyung In Kim, Etienne Roquain and Mark A. van de Wiel. Spatial Clustering of Array CGH Features in Combination with Hierarchical Multiple Testing. Statistical Applications in Genetics and Molecular Biology, Vol. 9, No. 1, 2010.
(2010) Alain Celisse and Stéphane Robin. A cross-validation based estimation of the proportion of true null hypotheses.
J. Statist. Planning Inference, 2010 (electronic).
Volume 140, Issue 11, November 2010, Pages 3132-3147.
- July, 2nd, 2012: closing meeting of the project, with the following talks:
- Rémi Lajugie: metric learning for change-point detection (joint work with Sylvain Arlot and Francis Bach)
- March, 21st, 2011:
Bayesian analysis of RNA sequencing data
Mark Van de Wiel (Dep. of Mathematics of VU University and Dep. of Epidemiology and Biostatistics of VU
University medical center).
Work in collaboration with Gwenael Leday, Aad van der Vaart, Luba Pardo, Wessel van Wieringen and Havard Rue.
- March, 26th, 2010:
Analyse de données RNA-seq
(Génopole, PF2, Institut Pasteur)