Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering

High-Order SNP Combinations Associated with Complex Diseases: Efficient Discovery, Statistical Power and Functional Interactions

(2012) Gang Fang et al.   PLoS One

GBOOST: a GPU-based tool for detecting gene–gene interactions in genome–wide case control studies

(2011) Ling Sing Yung et al.   BIOINFORMATICS

Detecting genome-wide epistases based on the clustering of relatively frequent items

(2011) Minzhu Xie et al.   BIOINFORMATICS

An empirical comparison of several recent epistatic interaction detection methods

(2011) Y. Wang et al.   BIOINFORMATICS

Genome-Wide Interaction-Based Association Analysis Identified Multiple New Susceptibility Loci for Common Diseases

(2011) Yang Liu et al.   PLoS Genetics

BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies

(2010) Xiang Wan et al.   AMERICAN JOURNAL OF HUMAN GENETICS

Model-Based Multifactor Dimensionality Reduction for detecting epistasis in case-control data in the presence of noise

(2010) Tom Cattaert et al.   ANNALS OF HUMAN GENETICS

Detecting two-locus associations allowing for interactions in genome-wide association studies

(2010) Xiang Wan et al.   BIOINFORMATICS

A variable selection method for genome-wide association studies

(2010) Qianchuan He et al.   BIOINFORMATICS

Predictive rule inference for epistatic interaction detection in genome-wide association studies

(2009) Xiang Wan et al.   BIOINFORMATICS

Most parsimonious haplotype allele sharing determination

(2009) Zhipeng Cai et al.   BMC BIOINFORMATICS

A random forest approach to the detection of epistatic interactions in case-control studies

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

Detecting gene–gene interactions that underlie human diseases

(2009) Heather J Cordell   NATURE REVIEWS GENETICS

Genetic Risk Prediction — Are We There Yet?

(2009) Peter Kraft et al.   NEW ENGLAND JOURNAL OF MEDICINE

Epistatic Module Detection for Case-Control Studies: A Bayesian Model with a Gibbs Sampling Strategy

(2009) Wanwan Tang et al.   PLoS Genetics