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The method accommodates both binary and quantitative traits.
We show that BiForce is more powerful and significantly faster than published tools for both binary and quantitative traits in a series of performance tests on simulated and real datasets.
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The GMDR method, unlike the original MDR method [77], permits adjustment for covariates and better handles data with unequal numbers of cases and controls, and can be used to analyze both qualitative (e.g. binary) and quantitative traits via different link functions.
In this study, we have developed a novel GWA G × G interaction testing scheme, applicable to both binary phenotypes and quantitative traits.
SR was proposed as a nestedness measure by and can be applied to both binary and quantitative matrices.
The published method was developed for both binary and quantitative prediction, but here we only compared SemiSVR to the quantitative version.
To further combine the effect of both binary and quantitative analysis, a meta P value was derived using an unweighted Z method.
The proposed approach can be equally applied to the analysis of both qualitative and quantitative traits.
Regression methods can be used to analyze both qualitative and quantitative traits.
Discovery of molecular markers has facilitated mapping of both qualitative and quantitative traits.
Both qualitative and quantitative trait analysis found no significant results in either individual SNPs or 3-SNP sliding-window haplotypes.
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