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    » Gene Ontology Friendly Biclustering of Expression Profiles
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    IADIS
    2008
    139views Internet Technology» more  IADIS 2008»
    Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data
    13 years 6 months ago
    Sisa: Seeded Iterative Signature Algorithm for Biclustering Gene Expression Data
    Download  www.iadis.net
    One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
    Neelima Gupta, Seema Aggarwal
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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 4 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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    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 4 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
    2008
    170views more  BMCBI 2008»
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
    13 years 4 months ago
    Evaluation of GO-based functional similarity measures using S. cerevisiae protein interaction and expression profile data
    Download  www.biomedcentral.com
    Background: Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries o...
    Tao Xu, LinFang Du, Yan Zhou
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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 8 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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