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Matthieu Vignes
Publication Activity (10 Years)
Years Active: 2007-2021
Publications (10 Years): 6
Top Topics
Inference In Graphical Models
Expectation Maximization
Biological Networks
Penalized Likelihood
Top Venues
Stat. Comput.
Bioinform.
Rev. d'Intelligence Artif.
CoRR
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Publications
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Elva María Novoa-del-Toro
,
Efrén Mezura-Montes
,
Matthieu Vignes
,
Morgane Térézol
,
Frédérique Magdinier
,
Laurent Tichit
,
Anaïs Baudot
A multi-objective genetic algorithm to find active modules in multiplex biological networks.
PLoS Comput. Biol.
17 (8) (2021)
Olivia Angelin-Bonnet
,
Patrick J. Biggs
,
Samantha J. Baldwin
,
Susan Thomson
,
Matthieu Vignes
sismonr: simulation of in silico multi-omic networks with adjustable ploidy and post-transcriptional regulation in R.
Bioinform.
36 (9) (2020)
Olivia Angelin-Bonnet
,
Patrick J. Biggs
,
Matthieu Vignes
The sismonr Package: Simulation of In Silico Multi-Omic Networks in R.
BIBM
(2018)
Magali Champion
,
Victor Picheny
,
Matthieu Vignes
-penalized likelihood.
Stat. Comput.
28 (6) (2018)
Magali Champion
,
Victor Picheny
,
Matthieu Vignes
-penalized likelihood.
Stat. Comput.
28 (4) (2018)
Nathalie Peyrard
,
Simon de Givry
,
Alain Franc
,
Stéphane Robin
,
Régis Sabbadin
,
Thomas Schiex
,
Matthieu Vignes
Exact and approximate inference in graphical models: variable elimination and beyond.
CoRR
(2015)
Jimmy Vandel
,
Brigitte Mangin
,
Matthieu Vignes
,
Damien Leroux
,
Olivier Loudet
,
Marie-Laure Martin-Magniette
,
Simon de Givry
Inférence de réseaux de régulation de gènes au travers de scores étendus dans les réseaux bayésiens.
Rev. d'Intelligence Artif.
26 (6) (2012)
Matthieu Vignes
,
Juliette Blanchet
,
Damien Leroux
,
Florence Forbes
: a software for biological module detection when data is incomplete, high dimensional and dependent.
Bioinform.
27 (6) (2011)
Matthieu Vignes
,
Florence Forbes
Gene Clustering via Integrated Markov Models Combining Individual and Pairwise Features.
IEEE ACM Trans. Comput. Biol. Bioinform.
6 (2) (2009)
Juliette Blanchet
,
Matthieu Vignes
A Model-Based Approach to Gene Clustering with Missing Observation Reconstruction in a Markov Random Field Framework.
J. Comput. Biol.
16 (3) (2009)
Juliette Blanchet
,
Matthieu Vignes
Combined expression data with missing values and gene interaction network analysis: a Markovian integrated approach.
BIBE
(2007)