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    BMCBI
    2006
    170views more  BMCBI 2006»
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    13 years 7 months ago
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
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    Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
    Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
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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
    13 years 9 months ago
    ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data
    Download  siam.org
    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
    2006
    134views more  BMCBI 2006»
    An approach for clustering gene expression data with error information
    13 years 7 months ago
    An approach for clustering gene expression data with error information
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    Background: Clustering of gene expression patterns is a well-studied technique for elucidating trends across large numbers of transcripts and for identifying likely co-regulated g...
    Brian Tjaden
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    ICPR
    2004
    IEEE
    167views computer vision» more  ICPR 2004»
    Feature Selection and Gene Clustering from Gene Expression Data
    14 years 8 months ago
    Feature Selection and Gene Clustering from Gene Expression Data
    Download  www.facweb.iitkgp.ernet.in
    In this article we describe an algorithm for feature selection and gene clustering from high dimensional gene expression data. The method is based on measuring similarity between ...
    D. Dutta Majumder, Pabitra Mitra
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    JMLR
    2010
    125views more  JMLR 2010»
    On utility of gene set signatures in gene expression-based cancer class prediction
    13 years 2 months ago
    On utility of gene set signatures in gene expression-based cancer class prediction
    Download  jmlr.csail.mit.edu
    Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
    Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
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