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    BIOINFORMATICS
    2007
    78views more  BIOINFORMATICS 2007»
    Computing the maximum similarity bi-clusters of gene expression data
    13 years 4 months ago
    Computing the maximum similarity bi-clusters of gene expression data
    Download  www.cs.cityu.edu.hk
    Xiaowen Liu, Lusheng Wang
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    BMCBI
    2008
    170views more  BMCBI 2008»
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
    13 years 4 months ago
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
    Download  www.biomedcentral.com
    Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
    Tao Xu, LinFang Du, Yan Zhou
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    ICPR
    2004
    IEEE
    167views computer vision» more  ICPR 2004»
    Feature Selection and Gene Clustering from Gene Expression Data
    14 years 5 months ago
    Feature Selection and Gene Clustering from Gene Expression Data
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    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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    BMCBI
    2007
    168views more  BMCBI 2007»
    GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
    13 years 4 months ago
    GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
    Download  www.biomedcentral.com
    Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
    Holger Fröhlich, Nora Speer, Annemarie Poustk...
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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    13 years 8 months ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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