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Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome.
Whistler T, Unger ER, Nisenbaum R, Vernon SD
J Transl Med 2003 Dec 1, 1:10
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BioMed Central articles that cite the above article:

1.


Methodology article    
Integrated Weighted Gene Co-expression Network Analysis with an Application to Chronic Fatigue Syndrome
Presson AP, Sobel EM, Papp JC, Suarez CJ, Whistler T, Rajeevan MS, Vernon SD, Horvath S
BMC Systems Biology 2008, 2:95 (6 November 2008)
[Abstract] [Full text] [PDF] [PubMed] [Related articles] [Cited on BioMed Central]

2.


Research article    
Preliminary evidence of mitochondrial dysfunction associated with post-infective fatigue after acute infection with Epstein Barr Virus
Vernon SD, Whistler T, Cameron B, Hickie IB, Reeves WC, Lloyd A
BMC Infectious Diseases 2006, 6:15 (31 January 2006)
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Research article    
GB virus-C a virus without a disease: We cannot give it chronic fatigue syndrome
Jones JF, Kulkarni PS, Butera ST, Reeves WC
BMC Infectious Diseases 2005, 5:78 (28 September 2005)
[Abstract] [Full text] [PDF] [PubMed] [Related articles] [1 comment]

4.


Research article    
Exercise responsive genes measured in peripheral blood of women with Chronic Fatigue Syndrome and matched control subjects
Whistler T, Jones JF, Unger ER, Vernon SD
BMC Physiology 2005, 5:5 (24 March 2005)
[Abstract] [Full text] [PDF] [PubMed] [Related articles] [Cited on BioMed Central]


This article is also cited by a further 3 articles in PubMed Central

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