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    BIOINFORMATICS
    2005
    57views more  BIOINFORMATICS 2005»
    Network constrained clustering for gene microarray data
    13 years 10 months ago
    Network constrained clustering for gene microarray data
    Download  www.eecs.umich.edu
    Dongxiao Zhu, Alfred O. Hero, Hong Cheng, Ritu Kha...
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    BMCBI
    2007
    133views more  BMCBI 2007»
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    13 years 11 months ago
    Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Download  www.biomedcentral.com
    Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
    Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
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    BMCBI
    2010
    214views more  BMCBI 2010»
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    13 years 11 months ago
    AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
    Download  www.biomedcentral.com
    Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
    Aaron M. Newman, James B. Cooper
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    BMCBI
    2010
    129views more  BMCBI 2010»
    A temporal precedence based clustering method for gene expression microarray data
    13 years 11 months ago
    A temporal precedence based clustering method for gene expression microarray data
    Download  www.dcs.warwick.ac.uk
    Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in m...
    Ritesh Krishna, Chang-Tsun Li, Vicky Buchanan-Woll...
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    BMCBI
    2008
    102views more  BMCBI 2008»
    Response projected clustering for direct association with physiological and clinical response data
    13 years 11 months ago
    Response projected clustering for direct association with physiological and clinical response data
    Download  www.biomedcentral.com
    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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