New algorithms for detecting multi-effect and multi-way epistatic interactions

A deep hybrid model to detect multi-locus interacting SNPs in the presence of noise

(2018) Suneetha Uppu et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Ant colony optimization with an automatic adjustment mechanism for detecting epistatic interactions

(2018) Boxin Guan et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Genetic interactions contribute less than additive effects to quantitative trait variation in yeast

(2015) Joshua S. Bloom et al.   Nature Communications

Heterogeneous computing architecture for fast detection of SNP-SNP interactions

(2014) Davor Sluga et al.   BMC BIOINFORMATICS

Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure

(2014) Sangseob Leem et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

Genome-wide association interaction analysis for Alzheimer's disease

(2014) Elena S. Gusareva et al.   NEUROBIOLOGY OF AGING

Genetic Interactions Involving Five or More Genes Contribute to a Complex Trait in Yeast

(2014) Matthew B. Taylor et al.   PLoS Genetics

GWIS - model-free, fast and exhaustive search for epistatic interactions in case-control GWAS

(2013) Benjamin Goudey et al.   BMC GENOMICS

A Review for Detecting Gene-Gene Interactions Using Machine Learning Methods in Genetic Epidemiology

(2013) Ching Lee Koo et al.   Biomed Research International

Improving accuracy for cancer classification with a new algorithm for genes selection

(2012) Hongyan Zhang et al.   BMC BIOINFORMATICS

iLOCi: a SNP interaction prioritization technique for detecting epistasis in genome-wide association studies

(2012) Jittima Piriyapongsa et al.   BMC GENOMICS

Machine learning approaches for the discovery of gene-gene interactions in disease data

(2012) R. Upstill-Goddard et al.   BRIEFINGS IN BIOINFORMATICS

SVM-Based Generalized Multifactor Dimensionality Reduction Approaches for Detecting Gene-Gene Interactions in Family Studies

(2012) Yao-Hwei Fang et al.   GENETIC EPIDEMIOLOGY

Support Vector Machines with L1 penalty for detecting gene-gene interactions

(2012) Yuanyuan Shen et al.   International Journal of Data Mining and Bioinformatics

TRM: A Powerful Two-Stage Machine Learning Approach for Identifying SNP-SNP Interactions

(2011) Hui-Yi Lin et al.   ANNALS OF HUMAN GENETICS

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

SNPInterForest: A new method for detecting epistatic interactions

(2011) Makiko Yoshida et al.   BMC BIOINFORMATICS

bNEAT: a Bayesian network method for detecting epistatic interactions in genome-wide association studies

(2011) Bing Han et al.   BMC GENOMICS

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

TEAM: efficient two-locus epistasis tests in human genome-wide association study

(2010) X. Zhang et al.   BIOINFORMATICS

On safari to Random Jungle: a fast implementation of Random Forests for high-dimensional data

(2010) Daniel F. Schwarz et al.   BIOINFORMATICS

Nonparametric Bayesian Variable Selection With Applications to Multiple Quantitative Trait Loci Mapping With Epistasis and Gene–Environment Interaction

(2010) Fei Zou et al.   GENETICS

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

(2009) Xiang Wan et al.   BIOINFORMATICS

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

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study

(2009) Xiang Wan et al.   BMC BIOINFORMATICS

Ant colony algorithm for analysis of gene interaction in high-dimensional association data

(2009) Romdhane Rekaya et al.   REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE

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

(2009) Wanwan Tang et al.   PLoS Genetics

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies

(2008) Can Yang et al.   BIOINFORMATICS

Identifying gene-disease associations using centrality on a literature mined gene-interaction network

(2008) A. Ozgur et al.   BIOINFORMATICS

Epistasis in sporadic Alzheimer's disease

(2008) Onofre Combarros et al.   NEUROBIOLOGY OF AGING

A support vector machine approach for detecting gene-gene interaction

(2007) Shyh-Huei Chen et al.   GENETIC EPIDEMIOLOGY