The ENVE methodology, in general, consists of two major modules, which include capturing and modeling the inherent noise (sample- and technical-associated variability) in whole-exome sequencing data using non-tumor diploid normal samples, followed by utilizing the learned model parameters to reliably detect somatic copy-number alterations in tumors