Fig. 1From: A machine learning approach for viral genome classificationOverview of CASTOR kernel architecture. The kernel is composed of two main units (classifier construction and prediction). White rectangles represent input and output data; grey and curved rectangles represent processes. TS and VS are training set and validation set, respectivelyBack to article page