Fostering Biological Relevance in Feature Selection for Microarray Data

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

Fostering Biological Relevance in Feature Selection for Microarray Data

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

Research output: Contribution to journal › Review article › peer-review

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 language	English (US)
Pages (from-to)	71-73
Number of pages	3
Journal	IEEE Intelligent Systems
Volume	20
Issue number	6
State	Published - Nov 1 2005

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

Cite this

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title = "Fostering Biological Relevance in Feature Selection for Microarray Data",

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.",

author = "Michael Berens and Huan Liu and Lance Parsons and Zheng Zhao and Lei Yu",

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AU - Berens, Michael

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AU - Parsons, Lance

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AB - 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.

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Fostering Biological Relevance in Feature Selection for Microarray Data

Abstract

ASJC Scopus subject areas

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