Raphaël Mourad

According to our database, Raphaël Mourad authored at least 16 papers between 2010 and 2024.

Collaborative distances:

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

2024

Should we really use graph neural networks for transcriptomic prediction?

Céline Brouard, Raphaël Mourad, Nathalie Vialaneix

Briefings Bioinform., January, 2024

2023

Semi-supervised learning improves regulatory sequence prediction with unlabeled sequences.

Raphaël Mourad

BMC Bioinform., December, 2023

2022

TADreg: a versatile regression framework for TAD identification, differential analysis and rearranged 3D genome prediction.

Raphaël Mourad

BMC Bioinform., 2022

Data analyses and bioinformatic models for genomics. (Analyses de données et modèles bioinformatiques pour la génomique).

Raphaël Mourad

, 2022

2021

DeepG4: A deep learning approach to predict cell-type specific active G-quadruplex regions.

Vincent Rocher, Matthieu Genais, Elissar Nassereddine, Raphaël Mourad

PLoS Comput. Biol., 2021

2020

Studying 3D genome evolution using genomic sequence.

Raphaël Mourad

Bioinform., 2020

2017

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

Raphaël Mourad, Lang Li, Olivier Cuvier

PLoS Comput. Biol., 2017

2016

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

Raphaël Mourad, Olivier Cuvier

PLoS Comput. Biol., 2016

2013

A Survey on Latent Tree Models and Applications.

Raphaël Mourad, Christine Sinoquet, Nevin Lianwen Zhang, Tengfei Liu, Philippe Leray

J. Artif. Intell. Res., 2013

2012

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

Pengyue Zhang, Raphaël Mourad, Yang Xiang, Kun Huang, Tim Hui-Ming Huang, Kenneth P. Nephew, Yunlong Liu, Lang Li

BMC Syst. Biol., 2012

Probabilistic graphical models for genetic association studies.

Raphaël Mourad, Christine Sinoquet, Philippe Leray

Briefings Bioinform., 2012

Forests of Latent Tree Models to Decipher Genotype-Phenotype Associations.

Christine Sinoquet, Raphaël Mourad, Philippe Leray

Proceedings of the Biomedical Engineering Systems and Technologies, 2012

Forests of Latent Tree Models for the Detection of Genetic Associations.

Christine Sinoquet, Raphaël Mourad, Philippe Leray

Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2011

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

PhD thesis, 2011

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

Raphaël Mourad, Christine Sinoquet, Philippe Leray

BMC Bioinform., 2011

2010

Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies.

Raphaël Mourad, Christine Sinoquet, Philippe Leray

Proceedings of the 19th International Conference on Computational Statistics, 2010