Cargando…
Supervised learning-based tagSNP selection for genome-wide disease classifications
BACKGROUND: Comprehensive evaluation of common genetic variations through association of single nucleotide polymorphisms (SNPs) with complex human diseases on the genome-wide scale is an active area in human genome research. One of the fundamental questions in a SNP-disease association study is to f...
Autores principales: | Liu, Qingzhong, Yang, Jack, Chen, Zhongxue, Yang, Mary Qu, Sung, Andrew H, Huang, Xudong |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2386071/ https://www.ncbi.nlm.nih.gov/pubmed/18366619 http://dx.doi.org/10.1186/1471-2164-9-S1-S6 |
Ejemplares similares
-
QuickSNP: an automated web server for selection of tagSNPs
por: Grover, Deepak, et al.
Publicado: (2007) -
Methods of tagSNP selection and other variables affecting imputation accuracy in swine
por: Badke, Yvonne M, et al.
Publicado: (2013) -
Cloud Computing-Based TagSNP Selection Algorithm for Human Genome Data
por: Hung, Che-Lun, et al.
Publicado: (2015) -
Snagger: A user-friendly program for incorporating additional information for tagSNP selection
por: Edlund, Christopher K, et al.
Publicado: (2008) -
CGTS: a site-clustering graph based tagSNP selection algorithm in genotype data
por: Wang, Jun, et al.
Publicado: (2009)