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Raphaël Mourad

Showing results (1-10 of 19) with videos related to

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Bioinformatics (Oxford, England)|October 13, 2019
Studying 3D genome evolution using genomic sequenceRaphaël Mourad
BMC Bioinformatics|May 5, 2023
Semi-supervised learning improves regulatory sequence prediction with unlabeled sequencesRaphaël Mourad
BMC Bioinformatics|March 3, 2022
TADreg: a versatile regression framework for TAD identification, differential analysis and rearranged 3D genome predictionRaphaël Mourad
Genome Biology|August 31, 2015
Predicting the spatial organization of chromosomes using epigenetic dataRaphaël Mourad, Olivier Cuvier
Nucleic Acids Research|December 23, 2017
TAD-free analysis of architectural proteins and insulatorsRaphaël Mourad, Olivier Cuvier
Seminars in Cell & Developmental Biology|July 22, 2018
The 3D genome: From fundamental principles to disease and cancerDavid Umlauf, Raphaël Mourad
Plos Computational Biology|May 21, 2016
Computational Identification of Genomic Features That Influence 3D Chromatin Domain FormationRaphaël Mourad, Olivier Cuvier
Briefings in Bioinformatics|November 3, 2024
Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence predictionHan Phan, Céline Brouard, Raphaël Mourad
Briefings in Bioinformatics|February 13, 2024
Should we really use graph neural networks for transcriptomic prediction?Céline Brouard, Raphaël Mourad, Nathalie Vialaneix
BMC Bioinformatics|January 14, 2011
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studiesRaphaël Mourad, Christine Sinoquet, Philippe Leray
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|October 13, 2019
Studying 3D genome evolution using genomic sequenceRaphaël Mourad
BMC Bioinformatics|May 5, 2023
Semi-supervised learning improves regulatory sequence prediction with unlabeled sequencesRaphaël Mourad
BMC Bioinformatics|March 3, 2022
TADreg: a versatile regression framework for TAD identification, differential analysis and rearranged 3D genome predictionRaphaël Mourad
Genome Biology|August 31, 2015
Predicting the spatial organization of chromosomes using epigenetic dataRaphaël Mourad, Olivier Cuvier
Nucleic Acids Research|December 23, 2017
TAD-free analysis of architectural proteins and insulatorsRaphaël Mourad, Olivier Cuvier
Seminars in Cell & Developmental Biology|July 22, 2018
The 3D genome: From fundamental principles to disease and cancerDavid Umlauf, Raphaël Mourad
Plos Computational Biology|May 21, 2016
Computational Identification of Genomic Features That Influence 3D Chromatin Domain FormationRaphaël Mourad, Olivier Cuvier
Briefings in Bioinformatics|November 3, 2024
Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence predictionHan Phan, Céline Brouard, Raphaël Mourad
Briefings in Bioinformatics|February 13, 2024
Should we really use graph neural networks for transcriptomic prediction?Céline Brouard, Raphaël Mourad, Nathalie Vialaneix
BMC Bioinformatics|January 14, 2011
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studiesRaphaël Mourad, Christine Sinoquet, Philippe Leray
Pageof 2