Support vector machine classification on the web

Paul Pavlidis, Ilan Wapinski and William Stafford Noble

Bioinformatics. 20(4):586-587, 2004.


Abstract

The support vector machine learning algorithm has been widely applied in bioinformatics. We have developed a simple web interface to our implementation of the SVM algorithm, called Gist. This interface allows novice or occasional users to easily apply a sophisticated machine learning algorithm to their data. More advanced users can download the software and source code for local installation. The availability of these tools will permit more widespread application of this powerful learning algorithm in bioinformatics.


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