Announcing ExpressionCorrelation plugin

[Gary Bader]

The ExpressionCorrelation plug-in creates a network from gene expression
data.

It computes a similarity network from either the genes or conditions in
a gene expression matrix. The nodes in the similarity network represent
genes or conditions. The edges represent the similarity between vectors
of the expression levels of genes across all given conditions (gene
correlation network) or the similarity between vectors of the expression
levels of all genes in a single condition (condition correlation
network). The plug-in allows the user to select an Expression Matrix of
micro-array data directly from Cytoscape, computes the similarity matrix
using the Pearson Correlation Coefficient and converts it to an
interaction network in Cytoscape.

Created by: Elena Potylitsine, Weston Whitaker, Chris Sander and Gary
Bader at the Memorial Sloan-Kettering Cancer Center (MSKCC)

Released by: Bader Lab at the CCBR, University of Toronto and the Sander
lab at MSKCC

Please see: http://www.baderlab.org/Software/ExpressionCorrelation for
downloading information and documentation.