Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

newpull #1

Open
wants to merge 4 commits into
base: master
Choose a base branch
from
Open

newpull #1

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
e22dd7b
Update README.md
eeyangc Dec 13, 2016
71e409d
Update README.md
eeyangc Dec 13, 2016
8e473ff
Update README.md
eeyangc Sep 15, 2017
dfe9919
Update README.md
eeyangc Sep 15, 2017
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
17 changes: 13 additions & 4 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,22 +1,31 @@
#IGESS
IGESS
=======

IGESS is a statistical approach to integrating individual level genotype data and summary statistics in Genome Wide Association Studies. 'IGESS' R package provides computationally efficient and user friendly interface to fit and evaluate the IGESS model. It accepts both the R-type data and binary plink files.

##Usage
Usage
=======

The following two help pages provide a good start point for the genetic analysis using IGESS package, including the overview of IGESS package and the example command lines:

library(IGESS)
help(package="IGESS")  

##Development
Development
=======
This R package is developed by Mingwei Dai and Can Yang, and maintained by Can Yang <[email protected]>.

Installation
=======
To install the development version of IGESS, it's easiest to use the 'devtools' package. Note that IGESS depends on the 'Rcpp' and 'RcppArmadillo' package, which also requires appropriate setting of Rtools and Xcode for Windows and Mac OS/X, respectively.

install.packages("devtools")
library(devtools)
install_github("daviddaigithub/IGESS")

##References
References
=======
M. Dai, J. Ming, M., Cai, J. Liu, C. Yang, X. Wan, and Z. Xu. IGESS: A statistical approach to integrating individual level genotype data and summary statistics in genome wide association studies. Bioinformatics. 2017 Sep 15;33(18):2882-2889. doi: 10.1093/bioinformatics/btx314

=======
# IGESS
Expand Down