Reach Us +12 184512974


miRPreditor: a Novel MiRNA Target Predictor Based on SVM with Feature Analysis

MicroRNAs (miRNA) have been proven to serve as important post-transcription regulators in gene expression. To understand the function of miRNAs, it is necessary to figure out the target gene of miRNAs. Here we developed a novel miRNA target predictor, miRPredictor, which is based on support vector machine (SVM) combining with feature selection procedure. We considered different types of features including the flanking sequences of the potential targets and pattern information. The features selected were also analyzed to dig out the intrinsic mechanism of miRNA-target interaction. miRPredictor is available at mirpredictor/.

Author(s): Zhisong He, Dijun Chen, Kuangyu Wang, Ming Chen

Abstract | Full-Text | PDF

Share this  Facebook  Twitter  LinkedIn  Google+
30+ Million Readerbase
Abstracted/Indexed in
  • Google Scholar
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Electronic Journals Library
  • Zoological Records
  • WorldCat
  • Proquest Summons
  • Publons
  • MIAR
  • Secret Search Engine Labs

View More »

Flyer image