COPYRIGHT YEAR

2005

AUTHORS

V. J. Carey

TITLE

Machine Learning Concepts and Tools for Statistical Genomics

ABSTRACT

In this chapter, supervised machine learning methods are described in the context of microarray applications. The most widely used families of machine learning methods are described, along with various approaches to learner assessment. The Bioconductor interfaces to machine learning tools are described and illustrated. Key problems of model selection and interpretation are reviewed in examples.

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24 TRIPLES      24 PREDICATES      21 URIs      14 LITERALS

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2 sg:abstractRights OpenAccess
3 sg:bibliographyRights Restricted
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5 sg:bodyPdfRights Restricted
6 sg:chapterNumber 16
7 sg:copyrightHolder Springer Science+Business Media, Inc.
8 sg:copyrightYear 2005
9 sg:ddsId Chap16
10 sg:doi 10.1007/0-387-29362-0_16
11 sg:esmRights OpenAccess
12 sg:hasBook books:6331d88e5c13902321ad50646fc83638
13 sg:hasContribution contributions:c70bc550a7285f1d56223f411b7ccf6e
14 sg:language En
15 sg:license http://scigraph.springernature.com/explorer/license/
16 sg:metadataRights OpenAccess
17 sg:pageFirst 273
18 sg:pageLast 292
19 sg:scigraphId b1314bf5d701330fb166a1dafafc4691
20 sg:title Machine Learning Concepts and Tools for Statistical Genomics
21 sg:webpage https://link.springer.com/10.1007/0-387-29362-0_16
22 rdf:type sg:BookChapter
23 rdfs:label BookChapter: Machine Learning Concepts and Tools for Statistical Genomics
24 owl:sameAs http://lod.springer.com/data/bookchapter/978-0-387-29362-2_16
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