Fostering Biological Relevance in Feature Selection for Microarray Data

Michael Berens, Huan Liu, Lance Parsons, Zheng Zhao, Lei Yu

Research output: Contribution to journalReview article

7 Scopus citations

Abstract

The biological relevance in feature selection for microarray data was enriched. A tool, Reporter-Surrogate Variable Program, was developed that reduces the number of selected genes while increasing the overall discriminative power. RSVP aims to produce results that are both statistically significant and biologically relevant. Enriching statistically significant gene lists with biologically relevant genes can help expedite biological discovery and downstream analysis.

Original languageEnglish (US)
Pages (from-to)71-73
Number of pages3
JournalIEEE Intelligent Systems
Volume20
Issue number6
StatePublished - Nov 1 2005

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence

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  • Cite this

    Berens, M., Liu, H., Parsons, L., Zhao, Z., & Yu, L. (2005). Fostering Biological Relevance in Feature Selection for Microarray Data. IEEE Intelligent Systems, 20(6), 71-73.