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Florence d'Alché-Buc

Showing results (1-10 of 16) with videos related to

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BMC Proceedings|December 19, 2008
Machine learning in systems biologyFlorence d'Alché-Buc, Louis Wehenkel
Mathematical Biosciences|November 2, 2013
Autoregressive models for gene regulatory network inference: sparsity, stability and causality issuesGeorge Michailidis, Florence d'Alché-Buc
Bioinformatics (Oxford, England)|November 29, 2007
Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inferenceMinh Quach, Nicolas Brunel, Florence d'Alché-Buc
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein InteractionsAdriana Birlutiu, Florence d'Alché-Buc, Tom Heskes
BMC Bioinformatics|February 12, 2008
Evolutionary approaches for the reverse-engineering of gene regulatory networks: a study on a biologically realistic datasetCédric Auliac, Vincent Frouin, Xavier Gidrol, et al.
BMC Bioinformatics|May 12, 2007
Inferring biological networks with output kernel treesPierre Geurts, Nizar Touleimat, Marie Dutreix, et al.
Bioinformatics (Oxford, England)|April 12, 2013
OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networksNéhémy Lim, Yasin Senbabaoglu, George Michailidis, 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)|June 17, 2016
Fast metabolite identification with Input Output Kernel RegressionCéline Brouard, Huibin Shen, Kai Dührkop, et al.
Medical Image Analysis|August 31, 2016
Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparisonBlandine Romain, Laurence Rouet, Daniel Ohayon, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
BMC Proceedings|December 19, 2008
Machine learning in systems biologyFlorence d'Alché-Buc, Louis Wehenkel
Mathematical Biosciences|November 2, 2013
Autoregressive models for gene regulatory network inference: sparsity, stability and causality issuesGeorge Michailidis, Florence d'Alché-Buc
Bioinformatics (Oxford, England)|November 29, 2007
Estimating parameters and hidden variables in non-linear state-space models based on ODEs for biological networks inferenceMinh Quach, Nicolas Brunel, Florence d'Alché-Buc
IEEE/ACM Transactions on Computational Biology and Bioinformatics|September 11, 2015
A Bayesian Framework for Combining Protein and Network Topology Information for Predicting Protein-Protein InteractionsAdriana Birlutiu, Florence d'Alché-Buc, Tom Heskes
BMC Bioinformatics|February 12, 2008
Evolutionary approaches for the reverse-engineering of gene regulatory networks: a study on a biologically realistic datasetCédric Auliac, Vincent Frouin, Xavier Gidrol, et al.
BMC Bioinformatics|May 12, 2007
Inferring biological networks with output kernel treesPierre Geurts, Nizar Touleimat, Marie Dutreix, et al.
Bioinformatics (Oxford, England)|April 12, 2013
OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networksNéhémy Lim, Yasin Senbabaoglu, George Michailidis, 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)|June 17, 2016
Fast metabolite identification with Input Output Kernel RegressionCéline Brouard, Huibin Shen, Kai Dührkop, et al.
Medical Image Analysis|August 31, 2016
Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparisonBlandine Romain, Laurence Rouet, Daniel Ohayon, et al.
Pageof 2