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    » Classification with reject option in gene expression data
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    BMCBI
    2005
    56views more  BMCBI 2005»
    Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data
    14 years 9 months ago
    Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data
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    Florent Baty, Michel P. Bihl, Guy Perrière,...
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    JIB
    2007
    68views more  JIB 2007»
    Supervised classification of combined copy number and gene expression data
    14 years 9 months ago
    Supervised classification of combined copy number and gene expression data
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    Samantha Riccadonna, Giuseppe Jurman, Stefano Merl...
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    APBC
    2004
    138views Bioinformatics» more  APBC 2004»
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    14 years 10 months ago
    Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data
    Download  crpit.com
    Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments. The resulti...
    See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong
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    ADMA
    2006
    Springer
    192views Data Mining» more  ADMA 2006»
    GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
    15 years 1 months ago
    GEPCLASS: A Classification Rule Discovery Tool Using Gene Expression Programming
    Download  sci2s.ugr.es
    This work describes the use of a recently proposed technique
    Wagner Rodrigo Weinert, Heitor S. Lopes
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    BMCBI
    2010
    135views more  BMCBI 2010»
    Simple and flexible classification of gene expression microarrays via Swirls and Ripples
    14 years 9 months ago
    Simple and flexible classification of gene expression microarrays via Swirls and Ripples
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    Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
    Stuart G. Baker
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