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    JBI
    2006
    92views Bioinformatics» more  JBI 2006»
    Strategies for referent tracking in electronic health records
    13 years 4 months ago
    Strategies for referent tracking in electronic health records
    Download  ontology.buffalo.edu
    The goal of referent tracking is to create an ever-growing pool of data relating to the entities existing in concrete spatiotemporal reality. In the context of Electronic Healthca...
    Werner Ceusters, Barry Smith
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    JBI
    2006
    78views Bioinformatics» more  JBI 2006»
    Phylogenetics by likelihood: Evolutionary modeling as a tool for understanding the genome
    13 years 4 months ago
    Phylogenetics by likelihood: Evolutionary modeling as a tool for understanding the genome
    Download  i122server.vu-wien.ac.at
    Molecular evolutionary studies provide a means of investigating how cells function and how organisms adapt to their environment. The products of evolutionary studies provide medic...
    Carolin Kosiol, Lee Bofkin, Simon Whelan
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    JBI
    2006
    117views Bioinformatics» more  JBI 2006»
    Desiderata for domain reference ontologies in biomedicine
    13 years 4 months ago
    Desiderata for domain reference ontologies in biomedicine
    Download  ontology.buffalo.edu
    Domain reference ontologies represent knowledge about a particular part of the world in a way that is independent from specific objectives, through a theory of the domain. An exam...
    Anita Burgun
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    JBI
    2006
    88views Bioinformatics» more  JBI 2006»
    Methods in biomedical ontology
    13 years 4 months ago
    Methods in biomedical ontology
    Download  www.civ.utoronto.ca
    Research on ontologies is becoming widespread in the biomedical informatics community. At the same time, it has become apparent that the challenges of properly constructing and ma...
    Alexander C. Yu
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    JBI
    2006
    89views Bioinformatics» more  JBI 2006»
    Bioinformatics and biological reality
    13 years 4 months ago
    Bioinformatics and biological reality
    Download  hem.passagen.se
    Many bioinformaticians seem to shy away from believing that we can have knowledge about a mind-independent biological reality. This paper attempts to show that this tendency is ne...
    Ingvar Johansson
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    JBI
    2008
    159views Bioinformatics» more  JBI 2008»
    SEGS: Search for enriched gene sets in microarray data
    13 years 4 months ago
    SEGS: Search for enriched gene sets in microarray data
    Download  www.time.mk
    Gene Ontology (GO) terms are often used to interpret the results of microarray experiments. The most common approach is to perform Fisher's exact tests to find gene sets anno...
    Igor Trajkovski, Nada Lavrac, Jakub Tolar
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    JBI
    2008
    95views Bioinformatics» more  JBI 2008»
    Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets
    13 years 4 months ago
    Consensus and Meta-analysis regulatory networks for combining multiple microarray gene expression datasets
    Download  bura.brunel.ac.uk
    Emma Steele, Allan Tucker
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    JBI
    2008
    118views Bioinformatics» more  JBI 2008»
    Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
    13 years 4 months ago
    Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
    Download  mashup.pubs.dbs.uni-leipzig.de
    François Belleau, Marc-Alexandre Nolin, Nic...
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    JBI
    2008
    104views Bioinformatics» more  JBI 2008»
    Ontology-enhanced automatic chief complaint classification for syndromic surveillance
    13 years 4 months ago
    Ontology-enhanced automatic chief complaint classification for syndromic surveillance
    Download  ai.bpa.arizona.edu
    Emergency department free-text chief complaints (CCs) are a major data source for syndromic surveillance. CCs need to be classified into syndromic categories for subsequent automa...
    Hsin-Min Lu, Daniel Zeng, Lea Trujillo, Ken Komats...
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    JBI
    2008
    131views Bioinformatics» more  JBI 2008»
    Patient-specific learning in real time for adaptive monitoring in critical care
    13 years 4 months ago
    Patient-specific learning in real time for adaptive monitoring in critical care
    Download  groups.csail.mit.edu
    Ying Zhang, Peter Szolovits
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