Stéphane Robin

发表

Deciphering the connectivity structure of biological networks using MixNet

Franck Picard, Vincent Miele, Jean-Jacques Daudin, 2009, BMC Bioinformatics.

Spotting effect in microarray experiments

Jean-Jacques Daudin, Stéphane Robin, Tristan Mary-Huard, 2004, BMC Bioinformatics.

Statistical tests to compare motif count exceptionalities

Vincent Vandewalle, Stéphane Robin, Sophie Schbath, 2007, BMC Bioinformatics.

Transcriptional landscape estimation from tiling array data using a model of signal shift and drift

Stéphane Robin, Pierre Nicolas, Aurélie Leduc, 2009, Bioinform..

Modelling the influence of dimerisation sequence dissimilarities on the auxin signalling network

Stéphane Robin, Jonathan Legrand, Jean-Benoist Léger, 2016, BMC Systems Biology.

Exact and approximate inference in graphical models: variable elimination and beyond pdf

Simon de Givry, Thomas Schiex, Stéphane Robin, 2015, ArXiv.

A statistical approach for array CGH data analysis

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2005, BMC Bioinformatics.

Comparing change-point location in independent series

Stéphane Robin, Alice Cleynen, S. Robin, 2016, Stat. Comput..

Nine quick tips for analyzing network data

Vincent Miele, Stéphane Robin, Catherine Matias, 2019, PLoS Comput. Biol..

A variable selection approach in the multivariate linear model: an application to LC-MS metabolomics data

Stéphane Robin, Céline Lévy-Leduc, Marie-Pierre Étienne, 2018, Statistical applications in genetics and molecular biology.

Checking homogeneity of motifs' distribution in heterogenous sequences

Stéphane Robin, Sabrina Ledent, S. Robin, 2004, RECOMB.

Network impact on persistence in a finite population dynamic diffusion model: application to an emergent seed exchange network.

Mathieu Thomas, Stéphane Robin, Pierre Barbillon, 2014, Journal of theoretical biology.

Correction: Determination of the differentially expressed genes in microarray experiments using local FDR

Jean-Jacques Daudin, Stéphane Robin, Avner Bar-Hen, 2005, BMC Bioinformatics.

Segmentation simultanée de signaux: application aux données de microarray CGH

Stéphane Robin, Emilie Lebarbier, Baba Thiam, 2008 .

Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

Stéphane Robin, Grégory Nuel, Alain Celisse, 2009, BMC Bioinformatics.

VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data

Jean-Jacques Daudin, Stéphane Robin, Paul Delmar, 2005, Bioinform..

Occurrence of structured motifs in random sequences: Arbitrary number of boxes

Stéphane Robin, Sophie Schbath, Valery T. Stefanov, 2011, Discret. Appl. Math..

Variational Inference for Coupled Hidden Markov Models Applied to the Joint Detection of Copy Number Variations

Xiaoqiang Wang, Stéphane Robin, Emilie Lebarbier, 2017, The international journal of biostatistics.

Inference in finite state space non parametric Hidden Markov Models and applications

Stéphane Robin, Elisabeth Gassiat, Alice Cleynen, 2016, Stat. Comput..

Epidemiologic network inference

Stéphane Robin, Pierre Barbillon, Andrew Flachs, 2020, Stat. Comput..

Unsupervised Classification for Tiling Arrays: ChIP-chip and Transcriptome

Stéphane Robin, Marie-Laure Martin-Magniette, Sébastien Aubourg, 2011, Statistical applications in genetics and molecular biology.

SimkaMin: fast and resource frugal de novo comparative metagenomics

Stéphane Robin, Pierre Peterlongo, Claire Lemaitre, 2020, Bioinform..

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data

Stéphane Robin, Emilie Lebarbier, Michel Koskas, 2012, Algorithms for Molecular Biology.

Hidden Markov Models with mixtures as emission distributions

Stéphane Robin, Caroline Bérard, Marie-Laure Martin-Magniette, 2012, Statistics and Computing.

Variational Inference for sparse network reconstruction from count data

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2018, ICML.

Assessing the Exceptionality of Network Motifs

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2007, J. Comput. Biol..

SegCorr a statistical procedure for the detection of genomic regions of correlated expression

Stéphane Robin, Tristan Mary-Huard, Emilie Lebarbier, 2015, BMC Bioinformatics.

Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency

Stéphane Robin, Marie-Laure Martin-Magniette, Stevenn Volant, 2011, Comput. Stat. Data Anal..

HOMER : a homogenization software - methods and applications

Peter Domonkos, Franck Picard, Stéphane Robin, 2013 .

Waiting times for clumps of patterns and for structured motifs in random sequences

Stéphane Robin, Sophie Schbath, Valery T. Stefanov, 2007, Discret. Appl. Math..

Matching in the Large: An Experimental Study

Min Zhu, Ming Jiang, Stéphane Robin, 2017, Games Econ. Behav..

A semi-parametric approach for mixture models: Application to local false discovery rate estimation

Jean-Jacques Daudin, Stéphane Robin, Laurent Pierre, 2007, Computational Statistics & Data Analysis.

Joint segmentation, calling, and normalization of multiple CGH profiles.

Stéphane Robin, Mark Hoebeke, Emilie Lebarbier, 2011, Biostatistics.

Numerical Comparison of Several Approximations of the Word Count Distribution in Random Sequences

Stéphane Robin, Sophie Schbath, S. Schbath, 2002, J. Comput. Biol..

Occurrence Probability of Structured Motifs in Random Sequences

Jean-Jacques Daudin, Stéphane Robin, Marie-France Sagot, 2002, J. Comput. Biol..

Determination of the differentially expressed genes in microarray experiments using local FDR

Jean-Jacques Daudin, Stéphane Robin, Avner Bar-Hen, 2004, BMC Bioinformatics.

A mixture model for random graphs

Franck Picard, Jean-Jacques Daudin, Stéphane Robin, 2008, Stat. Comput..

HOMER: homogenization software in R - methods and applications

Peter Domonkos, Franck Picard, Stéphane Robin, 2013 .

Author's Personal Copy Computational Statistics and Data Analysis Joint Segmentation of Multivariate Gaussian Processes Using Mixed Linear Models

Franck Picard, Stéphane Robin, Emilie Lebarbier, 2022 .

Mélanges gaussiens bidimensionnels pour la comparaison de deux échantillons de chromatine immunoprécipitée

Alexandra To, Stéphane Robin, Vincent Colot, 2009, Monde des Util. Anal. Données.

Apprentissage de réseaux par agrégation bayésienne d'arbres couvrants

Stéphane Robin, Loïc Schwaller, 2015, Rev. d'Intelligence Artif..

Public policy, innovation and total factor productivity: An application to Taiwan's manufacturing industry

Stéphane Robin, Chia-Lin Chang, S. Robin, 2008, Math. Comput. Simul..

Nonparametric density estimation by exact leave-p-out cross-validation

Stéphane Robin, Alain Celisse, Alain Celisse, 2008, Comput. Stat. Data Anal..

Exact posterior distributions and model selection criteria for multiple change-point detection problems

Stéphane Robin, Emilie Lebarbier, Guillem Rigaill, 2012, Stat. Comput..

Accelerating Bayesian estimation for network Poisson models using frequentist variational estimates

Stéphane Robin, Sophie Donnet, S. Donnet, 2021, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Querying multiple sets of P-values through composed hypothesis testing

Stéphane Robin, Tristan Mary-Huard, Indranil Mukhopadhyay, 2021, Bioinform..

Extracting biological information from DNA arrays: an unexpected link between arginine and methionine metabolism in Bacillus subtilis

Jean-Jacques Daudin, Stéphane Robin, Antoine Danchin, 2001, Genome Biology.

A statistical approach for CGH microarray data analysis

Gilles Celeux, Franck Picard, Jean-Jacques Daudin, 2004 .

Network motifs : mean and variance for the count

Stéphane Robin, Etienne Birmelé, Sophie Schbath, 2006 .

DNA, words and models

Stéphane Robin, Sophie Schbath, François Rodolphe, 2005 .

Exact Distribution of the Distances between Any Occurrences of a Set of Words

Jean-Jacques Daudin, Stéphane Robin, 2001 .

Determination of the regulated genes in microarray experiments using local FDR

Jean-Jacques Daudin, Stéphane Robin, Avner Bar-Hen, 2004 .

Comparing Segmentation Methods for Genome Annotation Based on RNA-Seq Data

Stéphane Robin, Sandrine Dudoit, Alice Cleynen, 2014 .

Inference of Adaptive Shifts for Multivariate Correlated Traits

Stéphane Robin, Paul Bastide, Mahendra Mariadassou, 2017, bioRxiv.

A cross-validation based estimation of the proportion of true null hypotheses

Stéphane Robin, Alain Celisse, Alain Celisse, 2010 .

Bayesian Inference of Graphical Model Structures Using Trees

Stéphane Robin, Loïc Schwaller, S. Robin, 2015 .

A compound Poisson model for word occurrences in DNA sequences

Stéphane Robin, S. Robin, 2002 .

Prediction of Euclidean distances with discrete and continuous outcomes

Stéphane Robin, Avner Bar-Hen, F. Mortier, 2006 .

Exact distribution of word occurrences in a random sequence of letters

Jean-Jacques Daudin, Stéphane Robin, J. Daudin, 1999, Journal of Applied Probability.

Variational inference for probabilistic Poisson PCA

Stéphane Robin, Julien Chiquet, Mahendra Mariadassou, 2017, The Annals of Applied Statistics.

The MatP/matS Site-Specific System Organizes the Terminus Region of the E. coli Chromosome into a Macrodomain

Stéphane Robin, Sophie Schbath, Meriem El Karoui, 2008, Cell.

Individual Signature in Canary Songs: Contribution of Multiple Levels of Song Structure

Stéphane Robin, Thierry Aubin, Katia Lehongre, 2008 .

Amplification biases: possible differences among deviating gene expressions

Stéphane Robin, Isabelle Hue, Christelle Hennequet-Antier, 2008, BMC Genomics.

Mixture model on the variance for the differential analysis of gene expression data

Jean-Jacques Daudin, Stéphane Robin, Paul Delmar, 2005 .

Simultaneous Occurrences of Runs in Independent Markov Chains

Stéphane Robin, Valeri T. Stefanov, S. Robin, 2009 .

One sided acceptance sampling by variables: the case of the laplace distribution

Stéphane Robin, A. Sahli, P. Trecourt, 1997 .