PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures.

ABSTRACT:

Motivation

MicroRNAs (miRNAs) are short single-stranded non-coding molecules that usually function as negative regulators to silence or suppress gene expression. Owning to the dynamic nature of miRNA and reduced microarray and sequencing costs, a growing number of researchers are now measuring high-dimensional miRNA expression data using repeated or multiple measures in which each individual has more than one sample collected and measured over time. However, the commonly used univariate association testing or the site-by-site (SBS) testing may underutilize the longitudinal feature of the data, leading to underpowered results and less biologically meaningful results.

Results

We propose a penalized regression model incorporating grid search method (PGS), for analyzing associat

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC4173025 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature