Support vector machine classification on the web
作者： P. Pavlidis , I. Wapinski , W. S. Noble
DOI: 10.1093/BIOINFORMATICS/BTG461
关键词:
摘要: 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 allows novice or occasional users apply sophisticated easily their data. More advanced can download software and source code for local installation. availability these tools will permit more widespread application this powerful bioinformatics. Availability: Web at svm.sdsc.edu. Binaries microarray.cpmc.columbia.edu/gist.
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oxfordjournals.org参考文章(19)
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