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132
Voted
BMCBI
2011
14 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...
101
Voted
BIBM
2010
IEEE
222views Bioinformatics» more  BIBM 2010»
14 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...
98
Voted
BMCBI
2010
121views more  BMCBI 2010»
15 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