Discriminative and informative features for biomolecular text mining with ensemble feature selection

Motivation: In the field of biomolecular text mining, black box behavior of machine learning systems currently limits understanding of the true nature of the predictions. However, feature selection (FS) is capable of identifying the most relevant features in any supervised learning setting, providin...

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Bibliographic Details
Main Authors: Van Landeghem, Sofie, Abeel, Thomas, Saeys, Yvan, Van de Peer, Yves
Format: Artigo
Language:Inglês
Published: Oxford University Press 2010
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Eccb 2010 Conference Proceedings September 26 to September 29, 2010, Ghent, Belgium
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC2935429/
https://ncbi.nlm.nih.gov/pubmed/20823321
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btq381
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