Enliven: Journal of Anesthesiology and Critical Care Medicine

Support Vector Machines and Relevance Vector Machines and Their Usage
Author(s): Nick Ray

The researchers sought to use to supervised machine learning algorithms to determine the minor set of genes that can provide exact cancer from the microarray data. The importance of getting the minimum subset significantly stimulate the need for additional studies on the likely biological relationship that between the small number of genes together with the onset of cancer and drug development; it helps to considerably reduce the cost incurred in testing cancer since it streamlines the gene expression tests to cover a minimal amount of genes.