Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome

@article{Whistler2003IntegrationOG,
  title={Integration of gene expression, clinical, and epidemiologic data to characterize Chronic Fatigue Syndrome},
  author={T. Whistler and E. Unger and R. Nisenbaum and S. Vernon},
  journal={Journal of Translational Medicine},
  year={2003},
  volume={1},
  pages={10 - 10}
}
BackgroundChronic fatigue syndrome (CFS) has no diagnostic clinical signs or diagnostic laboratory abnormalities and it is unclear if it represents a single illness. The CFS research case definition recommends stratifying subjects by co-morbid conditions, fatigue level and duration, or functional impairment. But to date, this analysis approach has not yielded any further insight into CFS pathogenesis. This study used the integration of peripheral blood gene expression results with epidemiologic… Expand
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Identification of Marker Genes for Differential Diagnosis of Chronic Fatigue Syndrome
TLDR
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TLDR
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