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...

Descripción completa

Detalles Bibliográficos
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:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795991/
https://www.ncbi.nlm.nih.gov/pubmed/20018084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795991/
https://www.ncbi.nlm.nih.gov/pubmed/20018084

Ejemplares similares