Authors: | Betel, D.; Koppal, A.; Agius, P.; Sander, C.; Leslie, C. |
Article Title: | Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites |
Abstract: | 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 experimentally determined non-canonical and non-conserved sites. |
Keywords: | recognition; posttranscriptional regulation; transcripts; messenger-rnas; elements; rna-binding protein; c.; elegans; complementary; accessibility; determinants |
Journal Title: | Genome Biology |
Volume: | 11 |
Issue: | 8 |
ISSN: | 1465-6906 |
Publisher: | Biomed Central Ltd |
Date Published: | 2010-01-01 |
Start Page: | epub |
Language: | English |
ACCESSION: | ISI:000283777600011 |
DOI: | 10.1186/gb-2010-11-8-r90 |
PROVIDER: | wos |
PMCID: | PMC2945792 |
PUBMED: | 20799968 |
Notes: | --- - Article - R90 - "Source: Wos" |