knitr::opts_chunk$set(echo = TRUE)
This R package takes as impute several correlation matrices from gene expression datasets and returns the common estimated correlation matrix, the gene modules, and the best number of gene modules. The estimation of the common correlation matrix is done through an empirical Bayes model, as described in Zollinger et al. (2017) (submitted). The module construction is performed by hierarchical clustering. The optimal number of modules is found by using a modified version of the GAP statistic.
To install this R package, use the following commands
library(devtools) install_github("azolling/EBmodules") library(EBmodules)
estimation <-bayesian_modules(R,select=100000)
where $R$ is a list of correlation matrices.
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