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    BMCBI
    2008
    115views more  BMCBI 2008»
    Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
    13 years 7 months ago
    Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
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    Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
    Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
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    BMCBI
    2006
    102views more  BMCBI 2006»
    Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
    13 years 7 months ago
    Microarray analysis distinguishes differential gene expression patterns from large and small colony Thymidine kinase mutants of
    Download  www.biomedcentral.com
    Background: The Thymidine kinase (Tk) mutants generated from the widely used L5178Y mouse lymphoma assay fall into two categories, small colony and large colony. Cells from the la...
    Tao Han, Jianyong Wang, Weida Tong, Martha M. Moor...
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    CBMS
    2005
    IEEE
    136views Medical Imaging» more  CBMS 2005»
    An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis
    14 years 1 months ago
    An Ontology-Driven Clustering Method for Supporting Gene Expression Analysis
    Download  lhncbc.nlm.nih.gov
    The Gene Ontology (GO) is an important knowledge resource for biologists and bioinformaticians. This paper explores the integration of similarity information derived from GO into ...
    Haiying Wang, Francisco Azuaje, Olivier Bodenreide...
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    BMCBI
    2007
    97views more  BMCBI 2007»
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
    13 years 7 months ago
    In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
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    Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
    Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
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    BMCBI
    2006
    216views more  BMCBI 2006»
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
    13 years 7 months ago
    Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
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    Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
    Haiying Wang, Huiru Zheng, David Simpson, Francisc...
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