Welcome to the RRSM website
RRSM (Relative R Squared Method)
RRSM is an algorithm developed to identify the miRNA (microRNA) target genes. In recent years, many studies have concentrated on the identification of miRNA genes and their mRNA targets. Despite comprehensive exploration of miRNA genes, few miRNA targets have been identified by actual experimental methods. To expedite the identification of miRNA targets for experimental verification, RRSM was established based on miRNA and mRNA microarray profiles to find high-confidence miRNA targets.
• Wang, H. and Li, W. H. (2009). Increasing microRNA target prediction confidence by the relative
r-squared method. Journal of Theoretical Biology, 259 , 793-798.
• Wang, H., Wang, YH. and Wu, WS. (2011). Yeast cell cycle transcription factors identification
by variable selection criteria.Gene, 485, 172-176 .
• Hsieh, W.J. and Wang, H. (2011). Human MicroRNA Target Identification by RRSM. Journal
of Theoretical Biology, 286, 79-84.
Hsieh, W.J. and Wang, H. (2013). RRSM with a Data-dependent
Threshold for miRNA Target
Wang, H. (2014). Predicting Cancer-Related MiRNAs Using Expression Profiles in Tumor
Wang, H.* (2016). Predicting MicroRNA Biomarkers for Cancer using Phylogenetic Tree
◆ Download the R-codes or MATLAB codes
(1) The R project web for free download is http://www.r-project.org.
(2) MATLAB software is not free, and MATLAB 7.0 with the statistical toolbox is required to run the codes.
Please ensure you already have installed R or MATLAB to run RRSM codes.
◆ A data Example
Data source: http://www.psi.toronto.edu/genmir/
et al., (2007).
profiling data to identify human microRNA targets.
The data include human miRNA and mRNA expression profiles.
(1) The s and p0 thresholds can be selected according to training data.
(2) The normalized or non-normalized procedure can be chosen.
(3) To analyze your own data, the data must be saved in .xls format.