Cargando…
Artificial neural networks for linkage analysis of quantitative gene expression phenotypes and evaluation of gene × gene interactions
BACKGROUND: Using single-nucleotide polymorphism (SNP) genotypes and selected gene expression phenotypes from 14 CEPH (Centre d'Etude du Polymorphisme Humain) pedigrees provided for Genetic Analysis Workshop 15 (GAW15), we analyzed quantitative traits with artificial neural networks (ANNs). Our...
Autores principales: | Liu, Ying, Duan, Weimin, Paschall, Justin, Saccone, Nancy L |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367483/ https://www.ncbi.nlm.nih.gov/pubmed/18466546 |
Ejemplares similares
-
Exploiting gene × gene interaction in linkage analysis
por: Huang, Yungui, et al.
Publicado: (2007) -
Effect of genotype × alcoholism interaction on linkage analysis of an alcoholism-related quantitative phenotype
por: Arya, Rector, et al.
Publicado: (2005) -
Application of Bayesian network structure learning to identify causal variant SNPs from resequencing data
por: Schlosberg, Christopher E, et al.
Publicado: (2011) -
The genetics of gene expression: comparison of linkage scans using two phenotype normalization methods
por: de Andrade, Mariza, et al.
Publicado: (2007) -
Power of maximum HLOD tests to detect linkage to obesity genes
por: Yoo, Yun Joo, et al.
Publicado: (2003)