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
Presentation
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)
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 Paper 2: Horvath, Dong, Yip (2006)
2006-11-30
Please send your suggestions and
comments to: shorvath@mednet.ucla.edu