Support vector machine classification on the web

112Citations
Citations of this article
106Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Summary: The support vector machine (SVM) 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 apply a sophisticated machine learning algorithm easily 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. © Oxford University Press 2004; all rights reserved.

Cite

CITATION STYLE

APA

Pavlidis, P., Wapinski, I., & Noble, W. S. (2004). Support vector machine classification on the web. Bioinformatics, 20(4), 586–587. https://doi.org/10.1093/bioinformatics/btg461

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free