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    BIOCOMP
    2008
    135views Bioinformatics» more  BIOCOMP 2008»
    Prediction of Protein Function Using Graph Container and Message Passing
    13 years 6 months ago
    Prediction of Protein Function Using Graph Container and Message Passing
    Download  www.cs.siu.edu
    We introduce a novel parameter called container flux, which is used to measure the information sharing capacity between two distinct nodes in a graph. Other useful information, bot...
    Hongbo Zhou, Qiang Shawn Cheng, Mehdi Zargham
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    BMCBI
    2004
    174views more  BMCBI 2004»
    Implications for domain fusion protein-protein interactions based on structural information
    13 years 4 months ago
    Implications for domain fusion protein-protein interactions based on structural information
    Download  www.biomedcentral.com
    Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
    Jer-Ming Chia, Prasanna R. Kolatkar
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    NAR
    2011
    225views Computer Vision» more  NAR 2011»
    IsoBase: a database of functionally related proteins across PPI networks
    12 years 7 months ago
    IsoBase: a database of functionally related proteins across PPI networks
    Download  nar.oxfordjournals.org
    We describe IsoBase, a database identifying functionally related proteins, across five major eukaryotic model organisms: Saccharomyces cerevisiae, Drosophila melanogaster, Caenorh...
    Daniel Park, Rohit Singh, Michael Baym, Chung-Shou...
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    BMCBI
    2005
    155views more  BMCBI 2005»
    Mining protein function from text using term-based support vector machines
    13 years 4 months ago
    Mining protein function from text using term-based support vector machines
    Download  www.biomedcentral.com
    Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
    Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
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    CBMS
    2007
    IEEE
    395views Medical Imaging» more  CBMS 2007»
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    13 years 11 months ago
    Auto-Extraction, Representation and Integration of a Diabetes Ontology Using Bayesian Networks
    Download  seacoast.sunderland.ac.uk
    This paper describes how high level biological knowledge obtained from ontologies such as the Gene Ontology (GO) can be integrated with low level information extracted from a Baye...
    Kenneth McGarry, Sheila Garfield, Stefan Wermter
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