Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis.

By Jason H. Moore, Scott M. Williams. Bioessays, 2005

346 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dc5b86aa6608bb0ae88efa530ca2037ad19c1436

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Citations in the corpus

GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures (2012, background): “*Correspondence: jason.h.moore@dartmouth.edu Department of Genetics, Institute for Quantitative Biomedical Sciences, Dartmouth Medical School, Lebanon, NH, USA Background: Geneticists who look beyond single locus disease associations require additional strategies for the detection of complex multi-l”
Epistasis—the essential role of gene interactions in the structure and evolution of genetic systems (2008, background): “Conclusion: building toward the future It should be apparent that the global analysis of gene-interaction patterns bears a striking resemblance to what is now called systems biolog”
A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. (2006, background): “We have reviewed two types of epistasis, biological and statistical (Moore and Williams, 2005).”
Genetics of Alzheimer's Disease (2013, background): “The study of epistasis is another area likely to add to our understanding of the genetics of AD, and recently, many researchers have called for an increased focus and developing more robust approaches to study gene-by-gene interactions [154–161].”
A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction (2007, methodology): “We have reviewed two types of epistasis, biological and statistical, and their relationship to each other [Moore and Williams, 2005].”