Support Vector Machines (SVMs) represent a robust and versatile class of machine learning algorithms that have significantly shaped the fields of pattern recognition, classification, and regression.

Descriptive genomics, relational genomics, and biochemical approaches can all be used to develop an understanding of novel molecular targets. Any target that is identified through genomics will ...