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

Pathway hunting by random survival forests

(2012) Xi Chen et al.   BIOINFORMATICS

SNP interaction detection with Random Forests in high-dimensional genetic data

(2012) Stacey J Winham et al.   BMC BIOINFORMATICS

GuiTope: an application for mapping random-sequence peptides to protein sequences

(2012) Rebecca F Halperin et al.   BMC BIOINFORMATICS

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

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

Application of statistics and machine learning for risk stratification of heritable cardiac arrhythmias

(2012) P.S. Wasan et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

A genome-wide screen of gene–gene interactions for rheumatoid arthritis susceptibility

(2011) Chunyu Liu et al.   HUMAN GENETICS

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

(2010) Daniel F. Schwarz et al.   BIOINFORMATICS

Bioinformatics challenges for genome-wide association studies

(2010) J. H. Moore et al.   BIOINFORMATICS

Identification of Type 2 Diabetes-associated combination of SNPs using Support Vector Machine

(2010) Hyo-Jeong Ban et al.   BMC GENETICS

Rule extraction from support vector machines: A review

(2010) Nahla Barakat et al.   NEUROCOMPUTING

ATHENA: A knowledge-based hybrid backpropagation-grammatical evolution neural network algorithm for discovering epistasis among quantitative trait Loci

(2010) Stephen D Turner et al.   BioData Mining

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

(2009) Rui Jiang et al.   BMC BIOINFORMATICS

Neural networks for modeling gene-gene interactions in association studies

(2009) Frauke Günther et al.   BMC GENETICS

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

(2008) A. Ozgur et al.   BIOINFORMATICS

Neural networks for genetic epidemiology: past, present, and future

(2008) Alison A Motsinger-Reif et al.   BioData Mining

A support vector machine approach for detecting gene-gene interaction

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