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    BMCBI
    2007
    114views more  BMCBI 2007»
    Large scale statistical inference of signaling pathways from RNAi and microarray data
    14 years 9 months ago
    Large scale statistical inference of signaling pathways from RNAi and microarray data
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    Background: The advent of RNA interference techniques enables the selective silencing of biologically interesting genes in an efficient way. In combination with DNA microarray tec...
    Holger Fröhlich, Mark Fellmann, Holger Sü...
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    BMCBI
    2008
    117views more  BMCBI 2008»
    A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
    14 years 9 months ago
    A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
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    Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
    Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
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    BMCBI
    2007
    135views more  BMCBI 2007»
    RECOVIR: An application package to automatically identify some single stranded RNA viruses using capsid protein residues that un
    14 years 9 months ago
    RECOVIR: An application package to automatically identify some single stranded RNA viruses using capsid protein residues that un
    Download  www.biomedcentral.com
    Background: Most single stranded RNA (ssRNA) viruses mutate rapidly to generate large number of strains having highly divergent capsid sequences. Accurate strain recognition in un...
    Dianhui Zhu, George E. Fox, Sugoto Chakravarty
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    BMCBI
    2010
    88views more  BMCBI 2010»
    Proteome scanning to predict PDZ domain interactions using support vector machines
    14 years 9 months ago
    Proteome scanning to predict PDZ domain interactions using support vector machines
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    Background: PDZ domains mediate protein-protein interactions involved in important biological processes through the recognition of short linear motifs in their target proteins. Tw...
    Shirley Hui, Gary D. Bader
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    BMCBI
    2008
    98views more  BMCBI 2008»
    GBNet: Deciphering regulatory rules in the co-regulated genes using a Gibbs sampler enhanced Bayesian network approach
    14 years 9 months ago
    GBNet: Deciphering regulatory rules in the co-regulated genes using a Gibbs sampler enhanced Bayesian network approach
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    Background: Combinatorial regulation of transcription factors (TFs) is important in determining the complex gene expression patterns particularly in higher organisms. Deciphering ...
    Li Shen, Jie Liu, Wei Wang
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