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    ICMLA
    2010
    133views Machine Learning» more  ICMLA 2010»
    Smoothing Gene Expression Using Biological Networks
    13 years 2 months ago
    Smoothing Gene Expression Using Biological Networks
    Download  math.bu.edu
    Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
    Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
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    ISBRA
    2009
    Springer
    94views Bioinformatics» more  ISBRA 2009»
    Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
    13 years 11 months ago
    Using Gene Expression Modeling to Determine Biological Relevance of Putative Regulatory Networks
    Download  array.bioengr.uic.edu
    Identifying gene regulatory networks from high-throughput gene expression data is one of the most important goals of bioinformatics, but it remains difficult to define what makes a...
    Peter Larsen, Yang Dai
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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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    ISMB
    2007
    131views Computational Biology» more  ISMB 2007»
    Annotating gene function by combining expression data with a modular gene network
    13 years 6 months ago
    Annotating gene function by combining expression data with a modular gene network
    Download  www.bic.kyoto-u.ac.jp
    Motoki Shiga, Ichigaku Takigawa, Hiroshi Mamitsuka
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    BICOB
    2010
    Springer
    217views Computational Biology» more  BICOB 2010»
    Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
    13 years 4 months ago
    Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
    Download  www-users.cs.umn.edu
    Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
    Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
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