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    BMCBI
    2008
    115views more  BMCBI 2008»
    Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
    14 years 9 months ago
    Principal components analysis based methodology to identify differentially expressed genes in time-course microarray data
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    Background: Time-course microarray experiments are being increasingly used to characterize dynamic biological processes. In these experiments, the goal is to identify genes differ...
    Sudhakar Jonnalagadda, Rajagopalan Srinivasan
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    BMCBI
    2006
    153views more  BMCBI 2006»
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
    14 years 9 months ago
    Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive
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    Background: Recent advances in genome technologies have provided an excellent opportunity to determine the complete biological characteristics of neoplastic tissues, resulting in ...
    Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, ...
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    BMCBI
    2008
    167views more  BMCBI 2008»
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
    14 years 9 months ago
    Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
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    Background: Most microarray experiments are carried out with the purpose of identifying genes whose expression varies in relation with specific conditions or in response to enviro...
    Stefano Parodi, Vito Pistoia, Marco Muselli
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    CSB
    2005
    IEEE
    205views Bioinformatics» more  CSB 2005»
    Fractal Clustering for Microarray Data Analysis
    15 years 3 months ago
    Fractal Clustering for Microarray Data Analysis
    Download  conferences.computer.org
    DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
    Lu-Yong Wang, Ammaiappan Balasubramanian, Amit Cha...
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    BMCBI
    2008
    99views more  BMCBI 2008»
    Ranking analysis of F-statistics for microarray data
    14 years 9 months ago
    Ranking analysis of F-statistics for microarray data
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    Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
    Yuan-De Tan, Myriam Fornage, Hongyan Xu
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