Predicting A-to-I RNA editing by feature selection and random forest.

RNA editing is a post-transcriptional RNA process that provides RNA and protein complexity for regulating gene expression in eukaryotes. It is challenging to predict RNA editing by computational methods. In this study, we developed a novel method to predict RNA editing based on a random forest metho...

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yang Shu, Ning Zhang, Xiangyin Kong, Tao Huang, Yu-Dong Cai
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2014
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/4989cf82814b46c2b66c9ac06ac2711e
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