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    BMCBI
    2006
    170views more  BMCBI 2006»
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    13 years 7 months ago
    Biclustering of gene expression data by non-smooth non-negative matrix factorization
    Download  www.biomedcentral.com
    Background: The extended use of microarray technologies has enabled the generation and accumulation of gene expression datasets that contain expression levels of thousands of gene...
    Pedro Carmona-Saez, Roberto D. Pascual-Marqui, Fra...
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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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    CSB
    2005
    IEEE
    133views Bioinformatics» more  CSB 2005»
    Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
    14 years 1 months ago
    Biological Pathway Prediction from Multiple Data Sources Using Iterative Bayesian Updating
    Download  users.soe.ucsc.edu
    There is a diversity of functional genomics data, such as gene expression data from microarray experiments, phenotypic data from gene deletion experiments, protein-protein interac...
    Corey Powell, Joshua M. Stuart
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    PSB
    2004
    87views Applied Computing» more  PSB 2004»
    Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
    13 years 9 months ago
    Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer
    Download  www.cs.pitt.edu
    Gene expression of a cell is controlled by sophisticated cellular processes. The capability of inferring the states of these cellular processes would provide insight into the mech...
    Xinghua Lu, Milos Hauskrecht, Roger S. Day
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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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