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Développements statistiques et algorithmiques pour l'analyse des cancers du sein de type triple négatif. (Statistical and algorithmic developments for the analysis of Triple Negative Breast Cancers).. AgroParisTech, France, (2010)Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data., , , , and . Algorithms Mol. Biol., (2014)Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models., , and . BMC Bioinform., 22 (1): 323 (2021)Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems., , and . COMPSTAT, page 557-564. Physica-Verlag, (2010)Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 172-180. JMLR.org, (2013)Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles., , and . CIBB, volume 8452 of Lecture Notes in Computer Science, page 248-258. Springer, (2013)Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis., , , , , , , , , and 3 other author(s). Briefings Bioinform., 19 (1): 65-76 (2018)New efficient algorithms for multiple change-point detection with reproducing kernels., , , and . Comput. Stat. Data Anal., (2018)PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data., , and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 324-332. JMLR.org, (2015)