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GECCO
2006
Springer

String transformation-based Bayesian classification or proteins

10 years 7 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classification problems is often limited; thus, SCS uses string transformation functions to change the encoding of proteins to reduce problem perplexity and improve classification. A wrapperbased genetic algorithm is used to search the space of possible string transformation functions to find functions that improve classification. Categories and Subject Descriptors I.5.1 [Computing Methodologies]: Pattern Recognition Models Statistical Keywords Bioinformatics, Classifier Systems General Terms Algorithms
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec
Added 23 Aug 2010
Updated 23 Aug 2010
Type Conference
Year 2006
Where GECCO
Authors Timothy Meekhof, Gary W. Daughdrill, Robert B. Heckendorn
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