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    » E-CAST: A Data Mining Algorithm for Gene Expression Data
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    NAR
    2008
    142views more  NAR 2008»
    CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining
    13 years 7 months ago
    CMGSDB: integrating heterogeneous Caenorhabditis elegans data sources using compositional data mining
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    CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional dat...
    Amrita Pati, Ying Jin, Karsten Klage, Richard F. H...
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    IJKDB
    2010
    141views more  IJKDB 2010»
    Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling
    13 years 5 months ago
    Mining Frequent Boolean Expressions: Application to Gene Expression and Regulatory Modeling
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    Regulatory network analysis and other bioinformatics tasks require the ability to induce and represent arbitrary boolean expressions from data sources. We introduce a novel framew...
    Mohammed Javeed Zaki, Naren Ramakrishnan, Lizhuang...
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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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    BMCBI
    2006
    201views more  BMCBI 2006»
    Gene selection algorithms for microarray data based on least squares support vector machine
    13 years 7 months ago
    Gene selection algorithms for microarray data based on least squares support vector machine
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    Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
    E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
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    BMCBI
    2008
    146views more  BMCBI 2008»
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
    13 years 7 months ago
    A phase synchronization clustering algorithm for identifying interesting groups of genes from cell cycle expression data
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    Background: The previous studies of genome-wide expression patterns show that a certain percentage of genes are cell cycle regulated. The expression data has been analyzed in a nu...
    Chang Sik Kim, Cheol Soo Bae, Hong Joon Tcha
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