Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data.

Abstract excerpt

BACKGROUND: Trait heterogeneity, which exists when a trait has been defined with insufficient specificity such that it is actually two or more distinct traits, has been implicated as a confounding factor in traditional statistical genetics of complex human disease. In the absence of detailed phenotypic data collected consistently in combination with genetic data, unsupervised computational methodologies offer the...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Bayes Theorem
• Share to Cluster Analysis