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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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Autors principals: Van Landeghem, Sofie, Abeel, Thomas, Saeys, Yvan, Van de Peer, Yves
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2010
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Accés en línia: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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