Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites Journal Article
| 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" |
Altmetric
Citation Impact
BMJ Impact Analytics
Related MSK Work