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    BMCBI
    2006
    173views more  BMCBI 2006»
    Kernel-based distance metric learning for microarray data classification
    13 years 7 months ago
    Kernel-based distance metric learning for microarray data classification
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    Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
    Huilin Xiong, Xue-wen Chen
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    BIOINFORMATICS
    2008
    122views more  BIOINFORMATICS 2008»
    Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes
    13 years 7 months ago
    Supervised principal component analysis for gene set enrichment of microarray data with continuous or survival outcomes
    Download  www2.in.tu-clausthal.de
    Xi Chen, Lily Wang, Jonathan D. Smith, Bing Zhang
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    JCB
    2000
    68views more  JCB 2000»
    Analysis of Variance for Gene Expression Microarray Data
    13 years 7 months ago
    Analysis of Variance for Gene Expression Microarray Data
    Download  genomics10.bu.edu
    M. Kathleen Kerr, Mitchell Martin, Gary A. Churchi...
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    BMCBI
    2006
    164views more  BMCBI 2006»
    Evaluation of clustering algorithms for gene expression data
    13 years 7 months ago
    Evaluation of clustering algorithms for gene expression data
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    Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
    Susmita Datta, Somnath Datta
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    BIODATAMINING
    2008
    135views more  BIODATAMINING 2008»
    Fast Gene Ontology based clustering for microarray experiments
    13 years 7 months ago
    Fast Gene Ontology based clustering for microarray experiments
    Download  www.biodatamining.org
    Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
    Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
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