Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites.
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ABSTRACT:
SUBMITTER: Betel D
PROVIDER: S-EPMC2945792 | biostudies-literature | 2010
REPOSITORIES: biostudies-literature
Publications
Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites.
Betel Doron D Koppal Anjali A Agius Phaedra P Sander Chris C Leslie Christina C
Genome biology 20100827 8
mirSVR is a new machine learning method for ranking microRNA target sites by a down-regulation score. The algorithm trains a regression model on sequence and contextual features extracted from miRanda-predicted target sites. In a large-scale evaluation, miRanda-mirSVR is competitive with other target prediction methods in identifying target genes and predicting the extent of their downregulation at the mRNA or protein levels. Importantly, the method identifies a significant number of experimenta ...[more]
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