Raphaël Mourad

发表

A Survey on Latent Tree Models and Applications

Tengfei Liu, Philippe Leray, Nevin Lianwen Zhang, 2013, J. Artif. Intell. Res..

Hierarchical Bayesian networks applied to association genetics

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2010 .

Waffect : a method to simulate case-control samples in genome-wide association studies.

Gregory Nuel, Raphaël Mourad, Vittorio Perduca, 2011 .

Forests of Latent Tree Models for the Detection of Genetic Associations

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2012, BIOINFORMATICS.

A dynamic time order network for time-series gene expression data analysis

Yang Xiang, Yunlong Liu, Kenneth P. Nephew, 2012, BMC Systems Biology.

A Bayesian network approach to model local dependencies among SNPs

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2009 .

Modélisation pangénomique du déséquilibre de liaison à l'aide de réseaux bayésiens hiérarchiques latents et applications. (Genome-wide linkage disequilibrium modeling using hierarchical latent Bayesian networks and applications)

Raphaël Mourad, Raphaël Mourad, 2011 .

Probabilistic graphical models for genetics, genomics and postgenomics

Christine Sinoquet, Raphaël Mourad, R. Mourad, 2014 .

Forests of Latent Tree Models to Decipher Genotype-Phenotype Associations

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2012, BIOSTEC.

Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2010, COMPSTAT.

Modeling linkage disequilibrium and performing association studies through probabilistic graphical models: a visiting tour of recent advances.

Christine Sinoquet, Raphaël Mourad, R. Mourad, 2014 .

Computational Identification of Genomic Features That Influence 3D Chromatin Domain Formation

Raphaël Mourad, Olivier Cuvier, O. Cuvier, 2016, PLoS Comput. Biol..

Forests of hierarchical latent models for association genetics

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2010 .

Simulation of phenotypes under H1 in genome wide association studies and applications.

Gregory Nuel, Raphaël Mourad, Vittorio Perduca, 2012 .

Studying 3D genome evolution using genomic sequence

Raphaël Mourad, 2020, Bioinform..

A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2011, BMC Bioinformatics.

Learning a forest of Hierarchical Bayesian Networks to model dependencies between genetic markers

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2010 .

Probabilistic graphical models for genetic association studies

Philippe Leray, Christine Sinoquet, Raphaël Mourad, 2012, Briefings Bioinform..

Uncovering direct and indirect molecular determinants of chromatin loops using a computational integrative approach

Lang Li, Raphaël Mourad, Olivier Cuvier, 2017, PLoS Comput. Biol..

Visualization of Pairwise and Multilocus Linkage Disequilibrium Structure Using Latent Forests

Philippe Leray, Christine Sinoquet, Christian Dina, 2011, PloS one.

Estrogen Induces Global Reorganization of Chromatin Structure in Human Breast Cancer Cells

Liran Juan, Raphaël Mourad, Hai Lin, 2014, PloS one.