Antonov Alexey V, Tetko Igor V, Prokopenko Volodymyr V, Kosykh Denis, Mewes Hans W
GSF National Research Center for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany.
Bioinformatics. 2004 Nov 22;20(17):3284-5. doi: 10.1093/bioinformatics/bth376. Epub 2004 Jun 24.
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.
最大边界(MAMA)线性规划分类算法最近已被提出并基于表达数据用于癌症分类测试。它在公开可用的表达数据集上展现出良好的性能。我们开发了一个网络界面,以便潜在用户能够轻松访问MAMA分类工具。基本选项和高级选项在应用方面提供了灵活性。输入数据格式与大多数公开可用数据集中使用的格式相同。这使得该网络资源对于在表达数据分析领域工作的非专业机器学习用户特别方便。