Feature Selection for Genomic and Proteomic Data Mining

Sun Yuan Kung, Man Wai Mak

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Scopus citations
Original languageEnglish (US)
Title of host publicationMachine Learning in Bioinformatics
PublisherJohn Wiley & Sons, Inc.
Pages1-45
Number of pages45
ISBN (Print)9780470116623
DOIs
StatePublished - Apr 21 2008

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

Keywords

  • Extreme dimensionality in genomic data - serious concern in many applications
  • Feature selection for genomic and proteomic data mining
  • Feature selection via vector-index-adaptive SVM

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  • Cite this

    Kung, S. Y., & Mak, M. W. (2008). Feature Selection for Genomic and Proteomic Data Mining. In Machine Learning in Bioinformatics (pp. 1-45). John Wiley & Sons, Inc.. https://doi.org/10.1002/9780470397428.ch1