Title: Support Vector Machines, Microarray, and High Dimensionality

Abstract: Support Vector Machines are briefly introduced as a classification tool in the context of cancer classification using gene expression profiles. Emphasis is placed on how the solution is determined despite the high dimensionality of covariates. The effect of the number of genes on classification accuracy is explored through application to published data sets.