Fit transcriptional regulatory networks using gene expression, priors, machine learning
To build and test:
The most reliable way to install package dependencies (and other of their dependencies):
source("http://bioconductor.org/biocLite.R")
biocLite(c("glmnet", "RUnit"))
The unitTests perform double duty: they ensure the package performs as (currently) expected; they introduce the package to the user and developer. Thus test_TReNA.R is one entry point into this project.
We have also created a Jupyter Notebook demonstrating use of TReNA with 4 different solvers