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    BIOINFORMATICS
    2008
    121views more  BIOINFORMATICS 2008»
    Hybrid huberized support vector machines for microarray classification and gene selection
    13 years 5 months ago
    Hybrid huberized support vector machines for microarray classification and gene selection
    Download  www.stat.umn.edu
    Li Wang, Ji Zhu, Hui Zou
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    ICML
    2007
    IEEE
    126views Machine Learning» more  ICML 2007»
    Hybrid huberized support vector machines for microarray classification
    14 years 5 months ago
    Hybrid huberized support vector machines for microarray classification
    Download  www.machinelearning.org
    The large number of genes and the relatively small number of samples are typical characteristics for microarray data. These characteristics pose challenges for both sample classif...
    Li Wang, Ji Zhu, Hui Zou
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    EVOW
    2006
    Springer
    208views Artificial Intelligence» more  EVOW 2006»
    A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
    13 years 8 months ago
    A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
    Download  www.info.univ-angers.fr
    We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
    Edmundo Bonilla Huerta, Béatrice Duval, Jin...
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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    13 years 4 months ago
    Gene selection algorithms for microarray data based on least squares support vector machine
    Download  www.biomedcentral.com
    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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    WCE
    2007
    180views Electrical And Computer Engi...» more  WCE 2007»
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    13 years 6 months ago
    Gene Selection for Tumor Classification Using Microarray Gene Expression Data
    Download  www.iaeng.org
    – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare several computa...
    Krishna Yendrapalli, Ram B. Basnet, Srinivas Mukka...
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