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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    13 years 6 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    Download  www.biomedcentral.com
    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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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 10 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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    SDM
    2004
    SIAM
    187views Data Mining» more  SDM 2004»
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    13 years 8 months ago
    Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
    Download  www.cs.utexas.edu
    Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
    Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
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    BMCBI
    2008
    204views more  BMCBI 2008»
    EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
    13 years 6 months ago
    EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
    Download  www.biomedcentral.com
    Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
    Javier Forment, Francisco Gilabert Villamón...
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    BMCBI
    2006
    170views more  BMCBI 2006»
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    13 years 6 months ago
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    Download  www.biomedcentral.com
    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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