Guillem Rigaill

Orcid: 0000-0002-7176-7511

According to our database1, Guillem Rigaill authored at least 25 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Adjusting the adjusted Rand Index.
Comput. Stat., March, 2023

gfpop: An <i>R</i> Package for Univariate Graph-Constrained Change-Point Detection.
J. Stat. Softw., 2023

Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics.
J. Mach. Learn. Res., 2023

2022
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data.
J. Stat. Softw., 2022

2021
Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models.
BMC Bioinform., 2021

2020
Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data.
J. Mach. Learn. Res., 2020

Fast tree aggregation for consensus hierarchical clustering.
BMC Bioinform., 2020

Quelques développements statistiques et algorithmiques pour l'analyse de données génomiques.
, 2020

2019
Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics.
Algorithms Mol. Biol., 2019

2018
New efficient algorithms for multiple change-point detection with reproducing kernels.
Comput. Stat. Data Anal., 2018

Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.
Briefings Bioinform., 2018

2017
On optimal multiple changepoint algorithms for large data.
Stat. Comput., 2017

2015
GEM2Net: from gene expression modeling to -omics networks, a new CATdb module to investigate <i>Arabidopsis thaliana</i> genes involved in stress response.
Nucleic Acids Res., 2015

Performance evaluation of DNA copy number segmentation methods.
Briefings Bioinform., 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

2014
Fast estimation of the Integrated Completed Likelihood criterion for change-point detection problems with applications to Next-Generation Sequencing data.
Signal Process., 2014

SegAnnDB: interactive Web-based genomic segmentation.
Bioinform., 2014

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data.
Algorithms Mol. Biol., 2014

2013
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

2012
Exact posterior distributions and model selection criteria for multiple change-point detection problems.
Stat. Comput., 2012

A regression model for estimating DNA copy number applied to capture sequencing data.
Bioinform., 2012

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).
PhD thesis, 2010

Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2008
ITALICS: an algorithm for normalization and DNA copy number calling for Affymetrix SNP arrays.
Bioinform., 2008


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