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    BMCBI
    2010
    170views more  BMCBI 2010»
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
    13 years 9 months ago
    Integrative analysis of gene expression and copy number alterations using canonical correlation analysis
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    Background: With the rapid development of new genetic measurement methods, several types of genetic alterations can be quantified in a high-throughput manner. While the initial fo...
    Charlotte Soneson, Henrik Lilljebjörn, Thoas ...
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    JBI
    2007
    138views Bioinformatics» more  JBI 2007»
    Towards knowledge-based gene expression data mining
    13 years 8 months ago
    Towards knowledge-based gene expression data mining
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    ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
    Riccardo Bellazzi, Blaz Zupan
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    BMCBI
    2007
    149views more  BMCBI 2007»
    A unified framework for finding differentially expressed genes from microarray experiments
    13 years 9 months ago
    A unified framework for finding differentially expressed genes from microarray experiments
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    Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
    Jahangheer S. Shaik, Mohammed Yeasin
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    BMCBI
    2008
    102views more  BMCBI 2008»
    Response projected clustering for direct association with physiological and clinical response data
    13 years 9 months ago
    Response projected clustering for direct association with physiological and clinical response data
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    Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
    Sung-Gon Yi, Taesung Park, Jae K. Lee
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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 9 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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