Methodology article
Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome
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* Corresponding author: Steve Horvath shorvath@mednet.ucla.edu
1 Biostatistics, University of California, Los Angeles, CA, USA
2 Pediatrics, University of California, Los Angeles, CA, USA
3 Human Genetics, University of California, Los Angeles, CA, USA
4 Division of Viral and Rickettsial Diseases, National Center for Zoonotic, Vector-Borne and Enteric Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
5 Chronic Fatigue and Immune Dysfunction Syndrome (CFIDS), PO Box 220398, Charlotte, NC, USA
BMC Systems Biology 2008, 2:95 doi:10.1186/1752-0509-2-95
Published: 6 November 2008Additional files
Additional file 1:
Functional annotation of IWGCNA candidate genes.
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Additional file 2:
Results for 89 genes that met the IWGCNA criteria out of the 8966 most varying genes.
Format: PDF Size: 15KB Download file
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