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    KDD
    2004
    ACM
    302views Data Mining» more  KDD 2004»
    Redundancy based feature selection for microarray data
    14 years 4 months ago
    Redundancy based feature selection for microarray data
    Download  www.public.asu.edu
    In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
    Lei Yu, Huan Liu
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    BMCBI
    2006
    126views more  BMCBI 2006»
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    13 years 4 months ago
    Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
    Download  www.biomedcentral.com
    Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
    Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
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    ISNN
    2007
    Springer
    130views Neural Networks» more  ISNN 2007»
    Memetic Algorithms for Feature Selection on Microarray Data
    13 years 10 months ago
    Memetic Algorithms for Feature Selection on Microarray Data
    Download  ntu-cg.ntu.edu.sg
    In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
    Zexuan Zhu, Yew-Soon Ong
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    ICONIP
    2007
    113views Information Technology» more  ICONIP 2007»
    A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data
    13 years 5 months ago
    A Kolmogorov-Smirnov Correlation-Based Filter for Microarray Data
    Download  www.fizyka.umk.pl
    Abstract. A filter algorithm using F-measure has been used with feature redundancy removal based on the Kolmogorov-Smirnov (KS) test for rough equality of statistical distribution...
    Jacek Biesiada, Wlodzislaw Duch
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    CSB
    2003
    IEEE
    98views Bioinformatics» more  CSB 2003»
    Minimum Redundancy Feature Selection from Microarray Gene Expression Data
    13 years 9 months ago
    Minimum Redundancy Feature Selection from Microarray Gene Expression Data
    Download  ranger.uta.edu
    Chris H. Q. Ding, Hanchuan Peng
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