Support vector machine classification on the web.
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.
Columbia Genome Center and Department of Biomedical Informatics, Columbia University, 1150 St Nicholas Avenue, New York, NY 10032, USA. pp175@columbia.edu
Paul
P
Pavlidis
Ilan
I
Wapinski
William Stafford
WS
Noble
D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003205:Computing Methodologies; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D010363:Pattern Recognition, Automated; D012984:Software