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Céline Brouard

Showing results (1-10 of 11) with videos related to

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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
NAR Genomics and Bioinformatics|March 10, 2022
Feature selection for kernel methods in systems biologyCéline Brouard, Jérôme Mariette, Rémi Flamary, et al.
Metabolites|August 4, 2019
Improved Small Molecule Identification through Learning Combinations of Kernel Regression ModelsCéline Brouard, Antoine Bassé, Florence d'Alché-Buc, et al.
Bioinformatics (Oxford, England)|November 14, 2018
Liquid-chromatography retention order prediction for metabolite identificationEric Bach, Sandor Szedmak, Céline Brouard, et al.
Bioinformatics (Oxford, England)|June 17, 2016
Fast metabolite identification with Input Output Kernel RegressionCéline Brouard, Huibin Shen, Kai Dührkop, et al.
BMC Bioinformatics|September 14, 2013
Learning a Markov Logic network for supervised gene regulatory network inferenceCéline Brouard, Christel Vrain, Julie Dubois, et al.
Bioinformatics (Oxford, England)|February 8, 2025
NMFProfiler: a multi-omics integration method for samples stratified in groupsAurélie Mercadié, Éléonore Gravier, Gwendal Josse, et al.
Plos One|July 22, 2016
Machine Learning of Protein Interactions in Fungal Secretory PathwaysJana Kludas, Mikko Arvas, Sandra Castillo, et al.
Bioinformatics (Oxford, England)|July 6, 2022
Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individualsLise Pomiès, Céline Brouard, Harold Duruflé, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
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
NAR Genomics and Bioinformatics|March 10, 2022
Feature selection for kernel methods in systems biologyCéline Brouard, Jérôme Mariette, Rémi Flamary, et al.
Metabolites|August 4, 2019
Improved Small Molecule Identification through Learning Combinations of Kernel Regression ModelsCéline Brouard, Antoine Bassé, Florence d'Alché-Buc, et al.
Bioinformatics (Oxford, England)|November 14, 2018
Liquid-chromatography retention order prediction for metabolite identificationEric Bach, Sandor Szedmak, Céline Brouard, et al.
Bioinformatics (Oxford, England)|June 17, 2016
Fast metabolite identification with Input Output Kernel RegressionCéline Brouard, Huibin Shen, Kai Dührkop, et al.
BMC Bioinformatics|September 14, 2013
Learning a Markov Logic network for supervised gene regulatory network inferenceCéline Brouard, Christel Vrain, Julie Dubois, et al.
Bioinformatics (Oxford, England)|February 8, 2025
NMFProfiler: a multi-omics integration method for samples stratified in groupsAurélie Mercadié, Éléonore Gravier, Gwendal Josse, et al.
Plos One|July 22, 2016
Machine Learning of Protein Interactions in Fungal Secretory PathwaysJana Kludas, Mikko Arvas, Sandra Castillo, et al.
Bioinformatics (Oxford, England)|July 6, 2022
Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individualsLise Pomiès, Céline Brouard, Harold Duruflé, et al.
Pageof 2