fguinot/sicomore-pkg: Selection of Interaction effects in COmpressed Multiple Omics REpresentation
From a set of input matrices and phenotype related to the same set of individual, sicomore <arxiv:1810.12169> is a two-step method which 1) finds and select groups of correlated variables in each input matrix which are good predictors for the common phenotype; and 2) finds the most predictive interaction effects between the set of data by testing for interaction between the selected groups of each input matrix.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | GPL (>= 2) |
| Version | 0.2.2-9000 |
| URL | https://jchiquet.github.io/sicomore-pkg/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
