Sentence examples for nominal traits from inspiring English sources

We believe our simulations establish LOCate as a valuable complementary approach for linkage analysis of categorical traits, particularly nominal traits.

This, along with LOCate's versatility for ordinal and nominal traits, makes our method a valuable complementary tool to existing frequentist methods.

LOCate's accuracy and applicability to both ordinal and nominal traits will prove useful to researchers interested in mapping loci for categorical traits.

LOCate is applicable to linkage analysis for ordinal or nominal traits, a versatility which we demonstrate by analyzing simulated data with a nominal trait, on which LOCate outperforms LOT, an existing method which is designed for ordinal traits.

We are currently developing extensions to increase the computational speed of LOCate, which will enable a more extensive range of simulations to compare LOCate's performance to LOT on a variety of ordinal and nominal traits with varying amounts of missing data and inbreeding.

A multivariate phenotype y) is defined as bivariate traits (yi, yj) which can be a mixture of continuous and nominal traits.

Our method can analyze an ordinal or nominal trait with any number of categories, can handle missing genotype and phenotype data, and can analyze pedigrees with inbreeding loops.

As our simulations demonstrate, LOCate exhibits better power than LOT when used to analyze a nominal trait, even when the input penetrance matrix is only a rough estimate.

We demonstrate the versatility of our method's user-specified penetrance function through analysis of simulated pedigrees with a nominal trait, and find that our method outperforms LOT [20], the method of Zhang et al., which is designed for ordinal traits.

We have implemented our method in the software LOCate, available at https://sourceforge.net/projects/categorical. LOCate is an effective and versatile approach for single marker analysis of nominal, ordinal, and binary traits on arbitrary family-sized pedigrees, including those with inbreeding loops and missing phenotypes and/or genotypes.

Data collected in a nominal format describe qualitative traits, categories with no inherent order, such as demographic information like nationality or college major.