A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data
Fig 4
Illustration of the GSE48091 gene-expression data-set used in Example-A (see main text).
Each row corresponds to a patient, and each column to a ‘gene’ (i.e., gene-expression measurement): the color of each pixel codes for the intensity of a particular measurement of a particular patient (see colorbar to the bottom).MD = 340 of these patients are cases, the other MX = 166 are controls; we group the former into the case-matrix ‘D’, and the latter into the control-matrix ‘X’.