Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic data
<p>Abstract</p> <p>Background</p> <p>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 co...
Main Authors: | Thornton-Wells Tricia A, Moore Jason H, Haines Jonathan L |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2006-04-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/7/204 |
Similar Items
-
Comparison of Three Clustering Methods for Dissecting Trait Heterogeneity in Genotypic Data
by: Thornton-Wells, Tricia Ann
Published: (2005) -
Confronting Complexity: A Comprehensive Statistical and Computational Strategy for Identifying the Missing Link between Genotype and Phenotype
by: Thornton-Wells, Tricia Ann
Published: (2006) -
Quantitative Genetic Methods to Dissect Heterogeneity in Complex Traits
by: Bigdeli, T. Bernard
Published: (2012) -
Dissecting the clinical heterogeneity of autism spectrum disorders through defined genotypes.
by: Hilgo Bruining, et al.
Published: (2010-01-01) -
Dissecting the multi-functional role of heterogeneous nuclear ribonucleoprotein H1 in methamphetamine addiction traits
by: Ruan, Qiu T.
Published: (2021)