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- W2908045104 abstract "Gene-gene interaction is a key factor for explaining missing heritability. Many methods have been proposed to identify gene-gene interactions. Multifactor dimensionality reduction (MDR) is a well-known method for the detection of gene-gene interactions by reduction from genotypes of single-nucleotide polymorphism combinations to a binary variable with a value of high risk or low risk. This method has been widely expanded to own a specific objective. Among those expansions, fuzzy-MDR uses the fuzzy set theory for the membership of high risk or low risk and increases the detection rates of gene-gene interactions. Fuzzy-MDR is expanded by a maximum likelihood estimator as a new membership function in empirical fuzzy MDR (EFMDR). However, EFMDR is relatively slow, because it is implemented by R script language. Therefore, in this study, we implemented EFMDR using RCPP (c++ package) for faster executions. Our implementation for faster EFMDR, called EMMDR-Fast, is about 800 times faster than EFMDR written by R script only. Keywords: EFMDR, Fuzzy-MDR, gene-gene interaction, multi-factor dimensionality reduction, RCPP" @default.
- W2908045104 created "2019-01-11" @default.
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- W2908045104 date "2018-12-31" @default.
- W2908045104 modified "2023-09-25" @default.
- W2908045104 title "EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution" @default.
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- W2908045104 doi "https://doi.org/10.5808/gi.2018.16.4.e37" @default.
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