A comparison of graph- and kernel-based –omics data integration algorithms for classifying complex traits

Posted by Ken K. Yang


You'll find here the R code.

1) To use this package, download the file for MDIntegration by right clicking on this link here.

2) Choose Save Link As...

3) Choose in R 'Install package from local files' and select "MDIntegration_1.0.tar.gz" or type "install.packages("Path to MDIntegration_1.0.tar.gz", repos = NULL, type = "source")" in the R console

4) library(MDIntegration)

5) help(CANetwork) for Composite association network and help(RVMInt) for Relevance vector machine (RVM) or RVM-boost

you may also read a step by step guide here

Relevance Vector Machine (RVM) is a machine learning technique.

Composite association network is a graph-based learning algorithm.

If you have any questions, please send an email to pathwayrf@gmail.com