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    » Scalable Rule-Based Gene Expression Data Classification
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    BMCBI
    2010
    92views more  BMCBI 2010»
    Integrating gene expression and GO classification for PCA by preclustering
    14 years 9 months ago
    Integrating gene expression and GO classification for PCA by preclustering
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    Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
    Jorn R. de Haan, Ester Piek, René C. van Sc...
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    SDM
    2008
    SIAM
    157views Data Mining» more  SDM 2008»
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    14 years 11 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
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    Gene expression information from microarray experiments is a primary form of data for biological analysis and can offer insights into disease processes and cellular behaviour. Suc...
    M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
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    BMCBI
    2007
    134views more  BMCBI 2007»
    A framework for significance analysis of gene expression data using dimension reduction methods
    14 years 9 months ago
    A framework for significance analysis of gene expression data using dimension reduction methods
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    Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
    Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...
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    KDD
    2004
    ACM
    302views Data Mining» more  KDD 2004»
    Redundancy based feature selection for microarray data
    15 years 10 months ago
    Redundancy based feature selection for microarray data
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    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
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    14 years 9 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    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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