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PGS: Penalized GEE with Grid Search

GitHub release

PGS is an R package for association study of high-dimensional repeatedly-measured genomic data.

Installation

In R console,

## Install REMP
library(devtools)
install_github("YinanZheng/PGS",
               dependencies=TRUE)
               
## If SSL cert verification failure
library(RCurl)
library(httr)
set_config( config( ssl_verifypeer = 0L ) )
install_github("YinanZheng/PGS",
               dependencies=TRUE)

Wiki & Examples:

Wiki: PGS

Example: Micro RNA expression and lung function

##Citation:

  1. Zheng Y, Fei Z, Zhang W, Starren JB, Liu L, Baccarelli AA, Li Y, Hou L. PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures. Bioinformatics. 2014;30(19):2802-7. doi: 10.1093/bioinformatics/btu396. PubMed PMID: 24947752; PubMed Central PMCID: PMC4173025. http://www.ncbi.nlm.nih.gov/pubmed/24947752

  2. Wang L, Zhou J, Qu A. Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics. 2012;68(2):353-60. doi: 10.1111/j.1541-0420.2011.01678.x. PubMed PMID: 21955051. http://www.ncbi.nlm.nih.gov/pubmed/21955051

##Contact Package Creator and Maintainer: Yinan Zheng

Email: y-zheng@northwestern.edu

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Penalized GEE with Grid Search (PGS): Penalized GEE model for association study of ultrahigh dimensional data

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