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Open AccessHighly AccessMethodology article

Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome

Angela P Presson1,2 email, Eric M Sobel3 email, Jeanette C Papp3 email, Charlyn J Suarez3 email, Toni Whistler4 email, Mangalathu S Rajeevan4 email, Suzanne D Vernon4,5 email and Steve Horvath1,3 email

Biostatistics, University of California, Los Angeles, CA, USA

Pediatrics, University of California, Los Angeles, CA, USA

Human Genetics, University of California, Los Angeles, CA, USA

Division of Viral and Rickettsial Diseases, National Center for Zoonotic, Vector-Borne and Enteric Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA

Chronic Fatigue and Immune Dysfunction Syndrome (CFIDS), PO Box 220398, Charlotte, NC, USA

author email corresponding author email

BMC Systems Biology 2008, 2:95doi:10.1186/1752-0509-2-95

Published: 6 November 2008

Additional files

Additional file 1:

Functional annotation of IWGCNA candidate genes.

Format: PDF Size: 49KB Download file

This file can be viewed with: Adobe Acrobat Reader

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

This file can be viewed with: Adobe Acrobat Reader


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