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    BMCBI
    2007
    168views more  BMCBI 2007»
    Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
    13 years 5 months ago
    Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
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    Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
    Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...
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    NAR
    2008
    175views more  NAR 2008»
    Onto-CC: a web server for identifying Gene Ontology conceptual clusters
    13 years 5 months ago
    Onto-CC: a web server for identifying Gene Ontology conceptual clusters
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    The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, t...
    Rocío Romero-Záliz, Coral del Val, J...
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    BMCBI
    2006
    136views more  BMCBI 2006»
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
    13 years 5 months ago
    Metric for Measuring the Effectiveness of Clustering of DNA Microarray Expression
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    Background: The recent advancement of microarray technology with lower noise and better affordability makes it possible to determine expression of several thousand genes simultane...
    Raja Loganantharaj, Satish Cheepala, John Clifford
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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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    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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