Franck Picard

According to our database, Franck Picard authored at least 17 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

scAN1.0: A reproducible and standardized pipeline for processing 10X single cell RNAseq data.

Maxime Lepetit, Mirela Diana Ilie, Marie Chanal, Gerald Raverot, Philippe Bertolino, Christophe Arpin, Franck Picard, Olivier Gandrillon

Silico Biol., 2023

Kernel-Based Testing for Single-Cell Differential Analysis.

Anthony Ozier-Lafontaine, Camille Fourneaux, Ghislain Durif, Céline Vallot, Olivier Gandrillon, Sandrine Giraud, Bertrand Michel, Franck Picard

CoRR, 2023

2022

Uniform deconvolution for Poisson Point Processes.

Anna Bonnet, Claire Lacour, Franck Picard, Vincent Rivoirard

J. Mach. Learn. Res., 2022

A Probabilistic Graph Coupling View of Dimension Reduction.

Hugues Van Assel, Thibault Espinasse, Julien Chiquet, Franck Picard

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2019

Probabilistic count matrix factorization for single cell expression data analysis.

Ghislain Durif, Laurent Modolo, Jeff E. Mold, Sophie Lambert-Lacroix, Franck Picard

Bioinform., 2019

2018

High dimensional classification with combined adaptive sparse PLS and logistic regression.

Ghislain Durif, Laurent Modolo, Jakob Michaelsson, Jeff E. Mold, Sophie Lambert-Lacroix, Franck Picard

Bioinform., 2018

2016

On the robustness of the generalized fused lasso to prior specifications.

Vivian Viallon, Sophie Lambert-Lacroix, Holger Höfling, Franck Picard

Stat. Comput., 2016

Adaptive Lasso and group-Lasso for functional Poisson regression.

Stéphane Ivanoff, Franck Picard, Vincent Rivoirard

J. Mach. Learn. Res., 2016

2013

Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles.

Guillem Rigaill, Vincent Miele, Franck Picard

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

2012

High-quality sequence clustering guided by network topology and multiple alignment likelihood.

Vincent Miele, Simon Penel, Vincent Daubin, Franck Picard, Daniel Kahn, Laurent Duret

Bioinform., 2012

2011

Joint segmentation of multivariate Gaussian processes using mixed linear models.

Franck Picard, Emilie Lebarbier, E. Budinskà, Stéphane Robin

Comput. Stat. Data Anal., 2011

Preprocessing and downstream analysis of microarray DNA copy number profiles.

Mark A. van de Wiel, Franck Picard, Wessel N. van Wieringen, Bauke Ylstra

Briefings Bioinform., 2011

2009

Strategies for Online Inference of Model-Based Clustering in large Networks

Hugo Zanghi, Franck Picard, Vincent Miele, Christophe Ambroise

CoRR, 2009

Deciphering the connectivity structure of biological networks using MixNet.

Franck Picard, Vincent Miele, Jean-Jacques Daudin, Ludovic Cottret, Stéphane Robin

BMC Bioinform., 2009

2008

A mixture model for random graphs.

Jean-Jacques Daudin, Franck Picard, Stéphane Robin

Stat. Comput., 2008

Assessing the Exceptionality of Network Motifs.

Franck Picard, Jean-Jacques Daudin, Michel Koskas, Sophie Schbath, Stéphane Robin

J. Comput. Biol., 2008

2005

A statistical approach for array CGH data analysis.

Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin

BMC Bioinform., 2005