Parsimonious Selection of Useful Genes in Microarray Gene Expression Data

Machine learning methods have of late made significant efforts to solving multidisciplinary problems in the field of cancer classification in microarray gene expression data. These tasks are characterized by a large number of features and a few observations, making the modeling a nontrivial undertak...

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Bibliographische Detailangaben
Hauptverfasser: González-Navarro, Félix F., Belanche-Muñoz, Lluís A.
Format: Buchkapitel
Sprache:eng
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