Cargando…
Detecting gene-by-smoking interactions in a genome-wide association study of early-onset coronary heart disease using random forests
BACKGROUND: Genome-wide association studies are often limited in their ability to attain their full potential due to the sheer volume of information created. We sought to use the random forest algorithm to identify single-nucleotide polymorphisms (SNPs) that may be involved in gene-by-smoking intera...
Autores principales: | Maenner, Matthew J, Denlinger, Loren C, Langton, Asher, Meyers, Kristin J, Engelman, Corinne D, Skinner, Halcyon G |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795991/ https://www.ncbi.nlm.nih.gov/pubmed/20018084 |
Ejemplares similares
-
Classification tree for detection of single-nucleotide polymorphism (SNP)-by-SNP interactions related to heart disease: Framingham Heart Study
por: Yao, Li, et al.
Publicado: (2009) -
Analysis of human mini-exome sequencing data from Genetic Analysis Workshop 17 using a Bayesian hierarchical mixture model
por: Bueno Filho, Julio S, et al.
Publicado: (2011) -
Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study
por: Engelman, Corinne D, et al.
Publicado: (2003) -
Prediction of genetic contributions to complex traits using whole genome sequencing
data
por: Yao, Chen, et al.
Publicado: (2014) -
A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking
por: Ye, Yuanqing, et al.
Publicado: (2005)