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    ICTAI
    2007
    IEEE
    172views Artificial Intelligence» more  ICTAI 2007»
    Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
    13 years 10 months ago
    Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression
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    In this paper we present a method for classifying accurately SAGE (Serial Analysis of Gene Expression) data. The high dimensionality of the data, namely the large number of featur...
    George Tzanis, Ioannis P. Vlahavas
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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 4 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    Download  www.biomedcentral.com
    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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    BMCBI
    2008
    167views more  BMCBI 2008»
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
    13 years 4 months ago
    Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classificat
    Download  www.biomedcentral.com
    Background: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of ide...
    Michael Gormley, Aydin Tozeren
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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
    2004
    205views more  BMCBI 2004»
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    13 years 4 months ago
    A combinational feature selection and ensemble neural network method for classification of gene expression data
    Download  www.biomedcentral.com
    Background: Microarray experiments are becoming a powerful tool for clinical diagnosis, as they have the potential to discover gene expression patterns that are characteristic for...
    Bing Liu, Qinghua Cui, Tianzi Jiang, Songde Ma
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