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    » Annotating Genes Using Textual Patterns
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    SIGIR
    2005
    ACM
    173views Information Technology» more  SIGIR 2005»
    An application of text categorization methods to gene ontology annotation
    14 years 1 months ago
    An application of text categorization methods to gene ontology annotation
    Download  www.ai.cs.kobe-u.ac.jp
    This paper describes an application of IR and text categorization methods to a highly practical problem in biomedicine, specifically, Gene Ontology (GO) annotation. GO annotation...
    Kazuhiro Seki, Javed Mostafa
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    BIRD
    2007
    Springer
    154views Bioinformatics» more  BIRD 2007»
    Mining Spatial Gene Expression Data for Association Rules
    14 years 1 months ago
    Mining Spatial Gene Expression Data for Association Rules
    Download  www.vanhemert.co.uk
    Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
    Jano I. van Hemert, Richard A. Baldock
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    KDD
    1995
    ACM
    173views Data Mining» more  KDD 1995»
    Knowledge Discovery in Textual Databases (KDT)
    13 years 11 months ago
    Knowledge Discovery in Textual Databases (KDT)
    Download  www.aaai.org
    The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
    Ronen Feldman, Ido Dagan
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    BMCBI
    2010
    155views more  BMCBI 2010»
    A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
    13 years 7 months ago
    A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
    Download  www.biomedcentral.com
    Background: In the study of cancer genomics, gene expression microarrays, which measure thousands of genes in a single assay, provide abundant information for the investigation of...
    Fan Shi, Christopher Leckie, Geoff MacIntyre, Izha...
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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 11 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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