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    BMCBI
    2006
    167views more  BMCBI 2006»
    GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
    13 years 5 months ago
    GOurmet: A tool for quantitative comparison and visualization of gene expression profiles based on gene ontology (GO) distributi
    Download  www.biomedcentral.com
    Background: The ever-expanding population of gene expression profiles (EPs) from specified cells and tissues under a variety of experimental conditions is an important but difficu...
    Jason M. Doherty, Lynn K. Carmichael, Jason C. Mil...
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    BMCBI
    2011
    287views Artificial Intelligence» more  BMCBI 2011»
    RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
    13 years 9 days ago
    RedundancyMiner: De-replication of redundant GO categories in microarray and proteomics analysis
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    Background: The Gene Ontology (GO) Consortium organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. Tools such...
    Barry Zeeberg, Hongfang Liu, Ari B. Kahn, Martin E...
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    BIODATAMINING
    2008
    135views more  BIODATAMINING 2008»
    Fast Gene Ontology based clustering for microarray experiments
    13 years 5 months ago
    Fast Gene Ontology based clustering for microarray experiments
    Download  www.biodatamining.org
    Background: Analysis of a microarray experiment often results in a list of hundreds of diseaseassociated genes. In order to suggest common biological processes and functions for t...
    Kristian Ovaska, Marko Laakso, Sampsa Hautaniemi
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    BMCBI
    2007
    207views more  BMCBI 2007»
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    13 years 5 months ago
    Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
    Download  www.biomedcentral.com
    Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
    Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
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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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