MiTarget: microRNA target gene prediction using a support vector machine.

ABSTRACT:

Background

MicroRNAs (miRNAs) are small noncoding RNAs, which play significant roles as posttranscriptional regulators. The functions of animal miRNAs are generally based on complementarity for their 5' components. Although several computational miRNA target-gene prediction methods have been proposed, they still have limitations in revealing actual target genes.

Results

We implemented miTarget, a support vector machine (SVM) classifier for miRNA target gene prediction. It uses a radial basis function kernel as a similarity measure for SVM features, categorized by structural, thermodynamic, and position-based features. The latter features are introduced in this study for the first time and reflect the mechanism of miRNA binding. The SVM classifier produces high performance wi

SUBMITTER: Kim SK 

PROVIDER: S-EPMC1594580 | biostudies-literature | 2006 Sep

REPOSITORIES: biostudies-literature