According to our database1, Guillem Rigaill authored at least 14 papers between 2008 and 2018.
Legend:Book In proceedings Article PhD thesis Other
New efficient algorithms for multiple change-point detection with reproducing kernels.
Computational Statistics & Data Analysis, 2018
Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.
Briefings in Bioinformatics, 2018
On optimal multiple changepoint algorithms for large data.
Statistics and Computing, 2017
GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate Arabidopsis thaliana genes involved in stress response.
Nucleic Acids Research, 2015
Performance evaluation of DNA copy number segmentation methods.
Briefings in Bioinformatics, 2015
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Fast estimation of the Integrated Completed Likelihood criterion for change-point detection problems with applications to Next-Generation Sequencing data.
Signal Processing, 2014
SegAnnDB: interactive Web-based genomic segmentation.
Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data.
Algorithms for Molecular Biology, 2014
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression.
Proceedings of the 30th International Conference on Machine Learning, 2013
Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013
Exact posterior distributions and model selection criteria for multiple change-point detection problems.
Statistics and Computing, 2012
A regression model for estimating DNA copy number applied to capture sequencing data.
ITALICS: an algorithm for normalization and DNA copy number calling for Affymetrix SNP arrays.