An algorithm for identification of the optimal scoring subnetwork. This tool provides a workflow over the output (a bunch of p-values) of differential expression analysis (e.g., DESeq2) by fitting them into a distribution first, then transforming them into Heinz scores. Based on the scores, Heinz is able to pinpoint an optimal subnetwork from the background network made from such as KEGG and Reactome. |
hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/heinz
Name | Description | Version | Minimum Galaxy Version |
---|---|---|---|
with p-values | 1.0 | 16.01 | |
for each node | 1.0 | 16.01 | |
using Heinz | 1.0 | 16.01 | |
the optimal scoring subnetwork | 0.1.0 | 16.01 |