A Combinatorial Partitioning Method to Identify Multilocus Genotypic Partitions That Predict Quantitative Trait Variation

Box 1.

Glossary of Notation

Symbol Definition
L Set of all measured loci
l Number of loci in set of loci L
M Subset of measured loci L
m Number of loci in subset of loci M
GM Set of m-locus genotypes defined by the subset of loci M
gM Number of m-locus genotypes defined by the subset of loci M
K Set of partitions of multilocus genotypes
k Number of partitions in set K
n Sample size
SSW Sum of squared differences among individuals within partitions of set K
MSW Mean squared differences among individuals within partitions of set K
SSK Sum of squared differences among partition means for set K
s Formula 2 Bias-corrected estimate of the variance among partition means for set K
pv K Proportion of phenotypic variability explained by differences among partition means for set K
CV Appended to the above statistical symbols to indicate the statistic is based on repeated 10-fold cross validation

This Article

  1. Genome Res. 11: 458-470

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