Human microRNA target identification by RRSM

Wan J. Hsieh, Hsiuying Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

MicroRNAs (miRNAs) are small endogenously expressed non-coding RNAs that regulate target messenger RNAs in various biological processes. In recent years, there have been many studies concentrated on the discovery of new miRNAs and identification of their mRNA targets. Although researchers have identified many miRNAs, few miRNA targets have been identified by actual experimental methods. To expedite the identification of miRNA targets for experimental verification, in the literature approaches based on the sequence or microarray expression analysis have been established to discover the potential miRNA targets. In this study, we focus on the human miRNA target prediction and propose a generalized relative R2 method (RRSM) to find many high-confidence targets. Many targets have been confirmed from previous studies. The targets for several miRNAs discovered by the HITS-CLIP method in a recent study have also been selected by our study.

Original languageEnglish
Pages (from-to)79-84
Number of pages6
JournalJournal of Theoretical Biology
Volume286
Issue number1
DOIs
StatePublished - 7 Oct 2011

Keywords

  • Correlation
  • Microarray expression
  • MiRNA
  • Regression model
  • Relative R method

Fingerprint Dive into the research topics of 'Human microRNA target identification by RRSM'. Together they form a unique fingerprint.

Cite this