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    » Smoothing Gene Expression Using Biological Networks
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    BMCBI
    2007
    134views more  BMCBI 2007»
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
    13 years 7 months ago
    Nearest Neighbor Networks: clustering expression data based on gene neighborhoods
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    Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
    Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
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    BMCBI
    2007
    227views more  BMCBI 2007»
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
    13 years 7 months ago
    Growing functional modules from a seed protein via integration of protein interaction and gene expression data
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    Background: Nowadays modern biology aims at unravelling the strands of complex biological structures such as the protein-protein interaction (PPI) networks. A key concept in the o...
    Ioannis A. Maraziotis, Konstantina Dimitrakopoulou...
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    ECCB
    2008
    IEEE
    146views Computational Biology» more  ECCB 2008»
    SIRENE: supervised inference of regulatory networks
    14 years 1 months ago
    SIRENE: supervised inference of regulatory networks
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    Living cells are the product of gene expression programs that involve the regulated transcription of thousands of genes. The elucidation of transcriptional regulatory networks in ...
    Fantine Mordelet, Jean-Philippe Vert
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    BMCBI
    2011
    251views Artificial Intelligence» more  BMCBI 2011»
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
    13 years 2 months ago
    Motif-guided sparse decomposition of gene expression data for regulatory module identification
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    Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
    Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
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    BMCBI
    2007
    126views more  BMCBI 2007»
    Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
    13 years 7 months ago
    Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
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    Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
    Gunnar Schramm, Marc Zapatka, Roland Eils, Rainer ...
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