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Oxford University Press (OUP), Bioinformatics, 17(20), p. 3284-3285

DOI: 10.1093/bioinformatics/bth376

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A web portal for classification of expression data using maximal margin linear programming

Journal article published in 2004 by Alexey V. Antonov, Igor V. Tetko, Volodymyr V. Prokopenko, Denis Kosykh, Hans W. Mewes ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

The Maximal Margin (MAMA) linear programming classification algorithm has recently been proposed and tested for cancer classification based on expression data. It demonstrated sound performance on publicly available expression datasets. We developed a web interface to allow potential users easy access to the MAMA classification tool. Basic and advanced options provide flexibility in exploitation. The input data format is the same as that used in most publicly available datasets. This makes the web resource particularly convenient for non-expert machine learning users working in the field of expression data analysis.