Cloud Scale Genomic Signals Processing, a methodology for the anlysis of large-scale cancer genomic data using signal processing;
see B. S. Harvey and S. Ji, “Cloud-Scale Genomic Signals Processing for Robust Large-Scale Cancer Genomic Microarray Data Analysis,” in IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 1, pp. 238-245, Jan. 2017.

Figure 1: Heat map of Global Cancer Map (GCM) sample expression levels generated from Wavelet Thresholding method for genes/features selection. Figure 2: Heat map of Global Cancer Map (GCM) sample expression levels generated from Differentially Expressed method for genes/features selection.