Feature Selection for Genomic and Proteomic Data Mining

Sun Yuan Kung; Man Wai Mak

doi:10.1002/9780470397428.ch1

Feature Selection for Genomic and Proteomic Data Mining

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

7 Citations (Scopus)

Original language	English
Title of host publication	Machine Learning in Bioinformatics
Publisher	John Wiley & Sons, Inc.
Pages	1-45
Number of pages	45
ISBN (Print)	9780470116623
DOIs	https://doi.org/10.1002/9780470397428.ch1
Publication status	Published - 21 Apr 2008

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

ASJC Scopus subject areas

General Biochemistry,Genetics and Molecular Biology

More information

10.1002/9780470397428.ch1

Cite this

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BT - Machine Learning in Bioinformatics

PB - John Wiley & Sons, Inc.

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Feature Selection for Genomic and Proteomic Data Mining

Keywords

ASJC Scopus subject areas

More information

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Cite this