Practitioners often defuzzify the matrix to form disjoint clusters (regions) and use them as the basis for quantile estimation.
R2 for OLS and Pseudo R2 for quantile regression.
Table 4 presents results for quantile regressions and it shows the effect of family income on different quantiles of BMI.
This subset was then used for quantile normalization.
Table 2 contains the estimated covariate effects for quantile boosting.
We integrated gene expression values of 7 series matrix files (GSE45929, GSE16741, GSE30906, GSE36780, GSE40375, GSE41380, GSE43663) into a single matrix and quantile normalized gene expression values of every sample and used it as an expression profile for construction of GRN.
In order to obtain a set of high-confidence Qrr1 target genes we filtered 205 genes having eQTL above the 99.9% quantile (of the entire eQTL matrix) for the subsequent analysis.
Moreover, the survey of Black and Devereux (2011) contains a detailed discussion of the estimation issues concerning the IE. Note that the IE, the IC, and the transition matrices for quantitative variables grouped in quantiles treat downward and upward intergenerational mobility symmetrically.
Before they were compiled into an expression profile data matrix, all arrays were quantile normalized in order to be comparable.
