Repository heinz
Name: heinz
Owner: iuc
Synopsis: An algorithm for identification of the optimal scoring subnetwork.
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.
Clone this repository: hg clone https://toolshed.g2.bx.psu.edu/repos/iuc/heinz
Type: unrestricted
Revision: 1:5f589c91566e
This revision can be installed: True
Times cloned / installed: 41

Contents of this repository

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

Categories
Statistics - Tools for generating statistics
Visualization - Tools for visualizing data
Transcriptomics - Tools for use in the study of Transcriptomics.