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A complex disease involves many etiological and risk factors operating at multiple levels—molecular, cellular, organismal, and environmental.
The incidence of such diseases as cancer, obesity, and diabetes are increasing in occurrence, urging us to think fundamentally and use a broader perspective to identify their connection and revolutionize treatment.
Multiscale Cancer Modeling
Genetic Analysis of Complex Diseases
Analysis of Multifactorial Diseases
Analysis of Complex Disease Association Studies
Mixed Effects Models for Complex Data
Aging
Statistical Approaches to Gene x Environment Interactions for Complex Phenotypes
Transcriptomics in Health and Disease
Systems Biology Approaches: Prevention, Diagnosis, and Understanding Mechanisms of Complex Diseases
Metabolic Syndrome
Using Mathematics to Understand Biological Complexity
Metabolic Syndrome and Cardiovascular Disease
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