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Support vector machines and kernels for computational biology

Ben-Hur, Asa ; Ong, Cheng Soon ; Sonnenburg, Sören ; Schölkopf, Bernhard ; Rätsch, Gunnar Lewitter, Fran

PLoS computational biology, 2008-10, Vol.4 (10), p.e1000173-e1000173 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Support vector machines and kernels for computational biology
Autor: Ben-Hur, Asa ; Ong, Cheng Soon ; Sonnenburg, Sören ; Schölkopf, Bernhard ; Rätsch, Gunnar
Lewitter, Fran
Assuntos: Artificial Intelligence ; Bioinformatics ; Biology ; Computational Biology ; Computational Biology - methods ; Computational Biology/Genomics ; Computer Science/Information Technology ; Decision Support Techniques ; Education ; Genetic algorithms ; Genetics and Genomics/Genomics ; Information Storage and Retrieval - methods ; Kernel functions ; Machine learning ; Methods ; Open source software ; Pattern Recognition, Automated - methods ; Software ; Statistics as Topic - methods ; Studies
É parte de: PLoS computational biology, 2008-10, Vol.4 (10), p.e1000173-e1000173
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-2
Current address: Department of Computer Science, ETH, Zürich, Switzerland.
Descrição: Introduction The increasing wealth of biological data coming from a large variety of platforms and the continued development of new high-throughput methods for probing biological systems require increasingly more sophisticated computational approaches. Another class of software includes machine learning libraries that provide a variety of classification methods and other facilities such as methods for feature selection, preprocessing, etc. A repository of machine learning open source software is available at http://mloss.org as part of an initiative advocating distribution of machine learning algorithms as open source software [71].
Editor: United States: Public Library of Science
Idioma: Inglês

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Support vector machines and kernels for computational biology

Ben-Hur, Asa ; Ong, Cheng Soon ; Sonnenburg, Sören ; Schölkopf, Bernhard ; Rätsch, Gunnar Lewitter, Fran

United States: Public Library of Science

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