Guillem Rigaill

26 papers A* 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty. J. Comput. Graph. Stat. Arnaud Liehrmann, Guillem Rigaill
2023	J	`jnl`	Adjusting the adjusted Rand Index. Comput. Stat. Martina Sundqvist, Julien Chiquet, Guillem Rigaill
2023	J	`jnl`	Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics. J. Mach. Learn. Res. Gaetano Romano, Idris A. Eckley, Paul Fearnhead, Guillem Rigaill
2023	J	`jnl`	gfpop: An J. Stat. Softw. Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill
2022	J	`jnl`	Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data. J. Stat. Softw. Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque
2021	J	`jnl`	Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models. BMC Bioinform. Arnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking
2020	J	`jnl`	Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data. J. Mach. Learn. Res. Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque
2020	J	`jnl`	Fast tree aggregation for consensus hierarchical clustering. BMC Bioinform. Audrey Hulot, Julien Chiquet, Florence Jaffrézic, Guillem Rigaill
2020	—	`book`	Quelques développements statistiques et algorithmiques pour l'analyse de données génomiques. Guillem Rigaill
2019	J	`jnl`	Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. Algorithms Mol. Biol. Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Villa-Vialaneix
2018	J	`jnl`	New efficient algorithms for multiple change-point detection with reproducing kernels. Comput. Stat. Data Anal. Alain Celisse, Guillemette Marot, Morgane Pierre-Jean, Guillem Rigaill
2018	J	`jnl`	Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis. Briefings Bioinform. Guillem Rigaill, Sandrine Balzergue, Véronique Brunaud, Eddy Blondet, Andrea Rau, Odile Rogier, José Caius, Cathy Maugis-Rabusseau, Ludivine Taconnat, Sébastien Aubourg, Claire Lurin, Marie-Laure Martin-Magniette, Etienne Delannoy
2017	J	`jnl`	On optimal multiple changepoint algorithms for large data. Stat. Comput. Robert Maidstone, Toby Hocking, Guillem Rigaill, Paul Fearnhead
2015	J	`jnl`	GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Nucleic Acids Res. Rim Zaag, Jean-Philippe Tamby, Cécile Guichard, Zakia Tariq, Guillem Rigaill, Etienne Delannoy, Jean-Pierre Renou, Sandrine Balzergue, Tristan Mary-Huard, Sébastien Aubourg, Marie-Laure Martin-Magniette, Véronique Brunaud
2015	A*	`conf`	PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data. ICML Toby Hocking, Guillem Rigaill, Guillaume Bourque
2015	J	`jnl`	Performance evaluation of DNA copy number segmentation methods. Briefings Bioinform. Morgane Pierre-Jean, Guillem Rigaill, Pierre Neuvial
2014	J	`jnl`	Fast estimation of the Integrated Completed Likelihood criterion for change-point detection problems with applications to Next-Generation Sequencing data. Signal Process. Alice Cleynen, The Minh Luong, Guillem Rigaill, Grégory Nuel
2014	J	`jnl`	SegAnnDB: interactive Web-based genomic segmentation. Bioinform. Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert
2014	J	`jnl`	Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data. Algorithms Mol. Biol. Alice Cleynen, Michel Koskas, Emilie Lebarbier, Guillem Rigaill, Stéphane Robin
2013	—	`conf`	Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles. CIBB Guillem Rigaill, Vincent Miele, Franck Picard
2013	—	`conf`	Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach
2012	J	`jnl`	A regression model for estimating DNA copy number applied to capture sequencing data. Bioinform. Guillem Rigaill, Sidney Cadot, Roelof J. C. Kluin, Zheng Xue, René Bernards, Ian J. Majewski, Lodewyk F. A. Wessels
2012	J	`jnl`	Exact posterior distributions and model selection criteria for multiple change-point detection problems. Stat. Comput. Guillem Rigaill, Emilie Lebarbier, Stéphane Robin
2010	—	`—`	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). Guillem Rigaill
2010	—	`conf`	Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems. COMPSTAT Guillem Rigaill, Emilie Lebarbier, Stéphane Robin
2008	J	`jnl`	ITALICS: an algorithm for normalization and DNA copy number calling for Affymetrix SNP arrays. Bioinform. Guillem Rigaill, Philippe Hupé, Anna Almeida, Philippe La Rosa, Jean-Philippe Meyniel, Charles Decraene, Emmanuel Barillot