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SVM classifies the simulation data into either sets of machine parameters leading to a successful synchronization or into those parameter settings that could lead in certain conditions to unstable machine behavior after start-up. SVM is a statistical learning algorithm and is widely used for ...
The ESTIMATE algorithm [41] was used to calculate tumor purity from gene expression of the primary tumor (Estimate R package v1.0.13). Normalized gene expression probeset identifiers were mapped to Entrez GeneIDs. As defined in the Estimate package, the data were filtered to only the common ...