Data and Statistical Code: Conservation and Evolution of

Gene Co-expression Networks in Human and Chimpanzee Brain

Oldham, M.C., Horvath, S., Geschwind, D.H.

Email Adrresses:
General questions:                                                          
oldham@ucla.edu, dhg@ucla.edu
Statistical correspondence:                                           shorvath@mednet.ucla.edu


ABSTRACT

This article describes the statistical methods and results for the paper:

* MC Oldham, S Horvath, DH Geschwind (2006) Conservation and evolution of gene co-expression networks in human and chimpanzee brain. PNAS.

Link to paper: PNAS Webpage

The following document provide the statistical code used for generating the weighted gene co-expression network for human and chimp brain network analysis. Word version is recommended but we also post the pdf version.


Contents

News Article

              PHYSORG.com    PDF version

              CBS2 news    PDF Version

Presentation

              PDF version

Real Data Analysis

      R-code and Statistical Analysis

         Microsoft word version (recommended)
 
PDF version

Download the following R function file, which contains several R functions needed for Weighted Gene Co-Expression Network Analysis.
  Network R functions

Human and Chimp microarray datasets
   Datasets (zipped)

A simulated gene co-expression network to illustrate the use of the topological overlap matrix for module detection

             Microsoft word version (recommended)

             PDF version

Other material regarding weighted gene co-expression network analysis

             Weighted Gene Co-Expression Network Page

             The weighted gene co-expression network analysis method is described in Theory Paper 1: Zhang and Horvath (2005)

             For a more mathematical description of weighted gene co-expression networks consider Theory Papes: Dong and Horvath (2007, 2008)

 


2008-11-12

Please send your suggestions and comments to: shorvath@mednet.ucla.edu