title: A web portal for classification of expression data using maximal margin linear programming.
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.
authors.affiliation: GSF National Research Center for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany.
authors.forename: Alexey V
authors.initials: AV
authors.lastname: Antonov
authors.forename: Igor V
authors.initials: IV
authors.lastname: Tetko
authors.forename: Volodymyr V
authors.initials: VV
authors.lastname: Prokopenko
authors.forename: Denis
authors.initials: D
authors.lastname: Kosykh
authors.forename: Hans W
authors.initials: HW
authors.lastname: Mewes
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D020869:Gene Expression Profiling / Q000379:methods*; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011382:Programming, Linear; D012984:Software; D014584:User-Computer Interface