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    CSB
    2005
    IEEE
    121views Bioinformatics» more  CSB 2005»
    K-means+ Method for Improving Gene Selection for Classification of Microarray Data
    14 years 1 months ago
    K-means+ Method for Improving Gene Selection for Classification of Microarray Data
    Download  conferences.computer.org
    Heng Huang, Rong Zhang, Fei Xiong, Fillia Makedon,...
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    BMCBI
    2006
    98views more  BMCBI 2006»
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
    13 years 7 months ago
    In search of functional association from time-series microarray data based on the change trend and level of gene expression
    Download  www.biomedcentral.com
    Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
    Feng He, An-Ping Zeng
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    BMCBI
    2007
    148views more  BMCBI 2007»
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    13 years 7 months ago
    p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
    Download  www.biomedcentral.com
    Background: The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis a...
    Elisabetta Sbisà, Domenico Catalano, Giorgi...
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 9 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    CBMS
    2006
    IEEE
    139views Medical Imaging» more  CBMS 2006»
    Incorporating Gene Ontology in Clustering Gene Expression Data
    13 years 9 months ago
    Incorporating Gene Ontology in Clustering Gene Expression Data
    Download  www.infornomics.utoronto.ca
    In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
    Rafal Kustra, Adam Zagdanski
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