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Fig. 1 | Genome Medicine

Fig. 1

From: ENVE: a novel computational framework characterizes copy-number mutational landscapes in colorectal cancers from African American patients

Fig. 1

Overview of the ENVE workflow to detect somatic copy-number alterations. The ENVE framework consists of two major modules: the first involves modeling of inherent noise in WES data using normal diploid samples (Module 1 on the left); the second module utilizes the expected variability as captured by the learned model parameters to detect sCNAs in tumors (Module 2 on the right)

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