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- Title
Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays.
- Authors
Chen, David P; Dudley, Joel T; Butte, Atul J
- Abstract
Diagnosis and treatment of patients in the clinical setting is often driven by known symptomatic factors that distinguish one particular condition from another. Treatment based on noticeable symptoms, however, is limited to the types of clinical biomarkers collected, and is prone to overlooking dysfunctions in physiological factors not easily evident to medical practitioners. We used a vector-based representation of patient clinical biomarkers, or clinarrays, to search for latent physiological factors that underlie human diseases directly from clinical laboratory data. Knowledge of these factors could be used to improve assessment of disease severity and help to refine strategies for diagnosis and monitoring disease progression.
- Publication
BMC bioinformatics, 2010, Vol 11 Suppl 9, pS4
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-11-S9-S4