articleTop 1% cited
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility
Journal of Theoretical Biology · 2006 · Vol. 241(2) · pp. 252–261
Jason H. Moore✉(Dartmouth Psychiatric Research Center)Joshua C. Gilbert(Dartmouth–Hitchcock Medical Center)Chia‐Ti Tsai(National Taiwan University Hospital)Fu‐Tien Chiang(National Taiwan University Hospital)Todd Holden(Dartmouth–Hitchcock Medical Center)Nate Barney(Dartmouth–Hitchcock Medical Center)Bill C. White(Dartmouth–Hitchcock Medical Center)
Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksMachine Learning in BioinformaticsEpistasisMultifactor dimensionality reductionComputer scienceArtificial intelligenceBayes' theoremCurse of dimensionalitySingle-nucleotide polymorphismMachine learningClassifier (UML)Locus (genetics)
Funding
- National Taiwan University Hospital
- National Institutes of Health
Citations
607
FWCI
23.47
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References
82
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References
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning · 2003 · 2,950 citations
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Genome-wide association studies for common diseases and complex traits
Nature Reviews Genetics · 2005 · 2,867 citations
Inference for the Generalization Error
Machine Learning · 2003 · 944 citations
Multifactor-Dimensionality Reduction Reveals High-Order Interactions among Estrogen-Metabolism Genes in Sporadic Breast Cancer
The American Journal of Human Genetics · 2001 · 1,932 citations
Genetic algorithms in search, optimization, and machine learning
Choice Reviews Online · 1989 · 49,283 citations
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