TY - JOUR
AU - Leslie, Christina
AB - 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.
TI - Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites
JF - Genome Biology
DO - 10.1186/gb-2010-11-8-r90
DA - 2010-08-27
UR - https://www.deepdyve.com/lp/springer-journals/comprehensive-modeling-of-microrna-targets-predicts-functional-non-CXK9fJ6lhO
SP - 1
EP - 14
VL - 11
IS - 8
DP - DeepDyve
ER -