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    BMCBI
    2006
    164views more  BMCBI 2006»
    Evaluation of clustering algorithms for gene expression data
    13 years 5 months ago
    Evaluation of clustering algorithms for gene expression data
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    Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
    Susmita Datta, Somnath Datta
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    BMCBI
    2010
    97views more  BMCBI 2010»
    A semi-parametric Bayesian model for unsupervised differential co-expression analysis
    13 years 10 days ago
    A semi-parametric Bayesian model for unsupervised differential co-expression analysis
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    Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
    Johannes M. Freudenberg, Siva Sivaganesan, Michael...
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    BMCBI
    2008
    102views more  BMCBI 2008»
    Response projected clustering for direct association with physiological and clinical response data
    13 years 5 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
    2011
    268views Artificial Intelligence» more  BMCBI 2011»
    A novel approach to the clustering of microarray data via nonparametric density estimation
    13 years 10 days ago
    A novel approach to the clustering of microarray data via nonparametric density estimation
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    Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
    Riccardo De Bin, Davide Risso
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    CIBCB
    2007
    IEEE
    204views Computational Biology» more  CIBCB 2007»
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    13 years 9 months ago
    Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
    Download  www.jihe.net
    Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
    Ji He, Xinbin Dai, Xuechun Zhao
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