These functions take a gene expression value matrix, a primary covariate vector, an additional known covariates matrix. A two stage analysis is applied to counter the effects of latent variables on the rankings of hypotheses. The estimation and adjustment of latent effects are proposed by Sun, Zhang and Owen (2011). "leapp" is developed in the context of microarray experiments, but may be used as a general tool for high throughput data sets where dependence may be involved.
Package details 


Author  Yunting Sun <yunting.sun@gmail.com> , Nancy R.Zhang <nzhang@stanford.edu>, Art B.Owen <owen@stanford.edu> 
Date of publication  20140722 08:52:54 
Maintainer  Yunting Sun <yunting.sun@gmail.com> 
License  GPL (>= 2) 
Version  1.2 
Package repository  View on CRAN 
Installation 
Install the latest version of this package by entering the following in R:

Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.