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SelectBoost: a general algorithm to enhance the performance of variable selection methods

Frédéric Bertrand, Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand, Lenore Cowen
2020 Bioinformatics  
Results In this article, we propose a general algorithm which improves the precision of any existing variable selection method.  ...  Although many methods have been proposed in the literature their performance in terms of recall (sensitivity) and precision (PPV) is limited in a context where the number of variables by far exceeds the  ...  In this article, following the idea of using simulation to enhance the variable selection methods, we propose the SelectBoost algorithm.  ... 
doi:10.1093/bioinformatics/btaa855 pmid:33016991 pmcid:PMC8097688 fatcat:u6efdyuptfemtcfxrz2yqfo2f4

selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets [article]

Ismaïl Aouadi, Nicolas Jung, Raphael Carapito, Laurent Vallat, Seiamak Bahram, Myriam Maumy-Bertrand, Frédéric Bertrand
2018 arXiv   pre-print
Results: In this article, we propose a general algorithm which improves the precision of any existing variable selection method.  ...  Although many methods have been proposed in the literature their performance in terms of recall and precision are limited in a context where the number of variables by far exceeds the number of observations  ...  Acknowledgements We are grateful to David Brusson from the Mesocenter of the University of Strasbourg.  ... 
arXiv:1810.01670v1 fatcat:446ifnlcozgwtkqnaa4ktb75l4