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Pierre Geurts

Showing results (11-20 of 37) with videos related to

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BMC Bioinformatics|May 12, 2007
Inferring biological networks with output kernel treesPierre Geurts, Nizar Touleimat, Marie Dutreix, et al.
Plos One|October 8, 2010
Inferring regulatory networks from expression data using tree-based methodsVân Anh Huynh-Thu, Alexandre Irrthum, Louis Wehenkel, et al.
Peerj. Computer Science|April 5, 2021
Error curves for evaluating the quality of feature rankingsIvica Slavkov, Matej Petković, Pierre Geurts, et al.
Bioinformatics (Oxford, England)|April 28, 2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discoveryVân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, et al.
Frontiers in Neuroscience|July 17, 2018
Random Forests Based Group Importance Scores and Their Statistical Interpretation: Application for Alzheimer's DiseaseMarie Wehenkel, Antonio Sutera, Christine Bastin, et al.
Plos One|January 10, 2015
Phenotype classification of zebrafish embryos by supervised learningNathalie Jeanray, Raphaël Marée, Benoist Pruvot, et al.
Plos One|March 27, 2014
NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithmsJoeri Ruyssinck, Vân Anh Huynh-Thu, Pierre Geurts, et al.
European Journal of Human Genetics : EJHG|May 13, 2010
A screening methodology based on Random Forests to improve the detection of gene-gene interactionsLizzy De Lobel, Pierre Geurts, Guy Baele, et al.
Plos One|March 17, 2015
A membrane-type-1 matrix metalloproteinase (MT1-MMP)-discoidin domain receptor 1 axis regulates collagen-induced apoptosis in breast cancer cellsDelphine Assent, Isabelle Bourgot, Benoît Hennuy, et al.
Human Brain Mapping|June 28, 2019
Characterization of a temporoparietal junction subtype of Alzheimer's diseaseFrançois Meyer, Marie Wehenkel, Christophe Phillips, et al.
Pageof 4

Showing results (11-20 of 37) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|May 12, 2007
Inferring biological networks with output kernel treesPierre Geurts, Nizar Touleimat, Marie Dutreix, et al.
Plos One|October 8, 2010
Inferring regulatory networks from expression data using tree-based methodsVân Anh Huynh-Thu, Alexandre Irrthum, Louis Wehenkel, et al.
Peerj. Computer Science|April 5, 2021
Error curves for evaluating the quality of feature rankingsIvica Slavkov, Matej Petković, Pierre Geurts, et al.
Bioinformatics (Oxford, England)|April 28, 2012
Statistical interpretation of machine learning-based feature importance scores for biomarker discoveryVân Anh Huynh-Thu, Yvan Saeys, Louis Wehenkel, et al.
Frontiers in Neuroscience|July 17, 2018
Random Forests Based Group Importance Scores and Their Statistical Interpretation: Application for Alzheimer's DiseaseMarie Wehenkel, Antonio Sutera, Christine Bastin, et al.
Plos One|January 10, 2015
Phenotype classification of zebrafish embryos by supervised learningNathalie Jeanray, Raphaël Marée, Benoist Pruvot, et al.
Plos One|March 27, 2014
NIMEFI: gene regulatory network inference using multiple ensemble feature importance algorithmsJoeri Ruyssinck, Vân Anh Huynh-Thu, Pierre Geurts, et al.
European Journal of Human Genetics : EJHG|May 13, 2010
A screening methodology based on Random Forests to improve the detection of gene-gene interactionsLizzy De Lobel, Pierre Geurts, Guy Baele, et al.
Plos One|March 17, 2015
A membrane-type-1 matrix metalloproteinase (MT1-MMP)-discoidin domain receptor 1 axis regulates collagen-induced apoptosis in breast cancer cellsDelphine Assent, Isabelle Bourgot, Benoît Hennuy, et al.
Human Brain Mapping|June 28, 2019
Characterization of a temporoparietal junction subtype of Alzheimer's diseaseFrançois Meyer, Marie Wehenkel, Christophe Phillips, et al.
Pageof 4