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    » Genetic programming for protein related text classification
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    BMCBI
    2007
    144views more  BMCBI 2007»
    Motif kernel generated by genetic programming improves remote homology and fold detection
    13 years 4 months ago
    Motif kernel generated by genetic programming improves remote homology and fold detection
    Download  www.biomedcentral.com
    Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
    Tony Håndstad, Arne J. H. Hestnes, Pål...
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    CANDC
    2004
    ACM
    105views Emerging Technology» more  CANDC 2004»
    Identification of related gene/protein names based on an HMM of name variations
    13 years 4 months ago
    Identification of related gene/protein names based on an HMM of name variations
    Download  www.ncbi.nlm.nih.gov
    Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important p...
    Lana Yeganova, Lawrence H. Smith, W. John Wilbur
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    IUI
    2000
    ACM
    149views Software Engineering» more  IUI 2000»
    Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
    13 years 9 months ago
    Enhancing information retrieval by automatic acquisition of textual relations using genetic programming
    Download  web.media.mit.edu
    We have explored a novel method to find textual relations in electronic documents using genetic programming and semantic networks. This can be used for enhancing information retri...
    Agneta Bergström, Patricija Jaksetic, Peter N...
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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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    BMCBI
    2010
    151views more  BMCBI 2010»
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    13 years 4 months ago
    Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
    Download  www.biomedcentral.com
    Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
    Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
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