A Survey of Support Vector Machines and an Analysis of DNA Methylation Information Processing using an SVM based Online Methylator Software.

摘要

Support vector machines (SVMs), are a set of related supervised learning methods, that analyze data and recognize patterns, used for classification and regression analysis. SVMs have been widely applied to many areas of bioinformatics, including protein function prediction, protease functional site recognition, transcription initiation site prediction and gene expression data classification. In this survey paper, we discussed and highlighted, the principles of SVMs and their applications, to perform the analysis, of mainly DNA Methylation concept. Tutorial approach is adopted in our current paper.