Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
BMCBI
2011
10 years 8 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...
BIBM
2010
IEEE
222views Bioinformatics» more  BIBM 2010»
10 years 11 months ago
CEO a cloud epistasis computing model in GWAS
The 1000 Genome project has made available a large number of single nucleotide polymorphisms (SNPs) for genome-wide association studies (GWAS). However, the large number of SNPs ha...
Zhengkui Wang, Yue Wang, Kian-Lee Tan, Limsoon Won...
BMCBI
2010
121views more  BMCBI 2010»
11 years 1 months ago
A Markov blanket-based method for detecting causal SNPs in GWAS
Background: Detecting epistatic interactions associated with complex and common diseases can help to improve prevention, diagnosis and treatment of these diseases. With the develo...
Bing Han, Meeyoung Park, Xue-wen Chen
books