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An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use.

, , , and . BioData Min., (2014)

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A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance., , , , , and . GECCO, page 353-354. ACM, (2008)Gene set analysis methods: a systematic comparison., , , , and . BioData Min., 11 (1): 8:1-8:19 (2018)PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles., , , , and . BioData Min., (2014)An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use., , , and . BioData Min., (2014)Neural networks for genetic epidemiology: past, present, and future., and . BioData Min., (2008)Bayesian neural networks for detecting epistasis in genetic association studies., , and . BMC Bioinformatics, (2014)Cheminformatics approach to exploring and modeling trait-associated metabolite profiles., , , , and . J. Cheminformatics, 11 (1): 43:1-43:15 (2019)Grammatical evolution support vector machines for predicting human genetic disease association., and . GECCO (Companion), page 595-598. ACM, (2012)The power of quantitative grammatical evolution neural networks to detect gene-gene interactions., and . GECCO, page 299-306. ACM, (2011)Optimization of grammatical evolution decision trees., , , , , and . GECCO (Companion), page 35-36. ACM, (2011)