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  1. No Access

    Protocol

    Mining Biomedical Data Using MetaMap Transfer (MMTx) and the Unified Medical Language System (UMLS)

    Detailed instruction is described for map** unstructured, free text data into common biomedical concepts (drugs, diseases, anatomy, and so on) found in the Unified Medical Language System using MetaMap Trans...

    John D. Osborne, Simon Lin, Lihua Julie Zhu, Warren A. Kibbe in Gene Function Analysis (2007)

  2. No Access

    Protocol

    Interpreting Microarray Results With Gene Ontology and MeSH

    Methods are described to take a list of genes generated from a microarray experiment and interpret these results using various tools and ontologies. A workflow is described that details how to convert gene ide...

    John D. Osborne, Lihua (Julie) Zhu, Simon M. Lin in Microarray Data Analysis (2007)

  3. Article

    Other riffs on cooperation are already showing how well a wiki could work

    John D. Osborne, Simon Lin, Warren A. Kibbe in Nature (2007)

  4. Article

    Open Access

    Annotating the human genome with Disease Ontology

    The human genome has been extensively annotated with Gene Ontology for biological functions, but minimally computationally annotated for diseases.

    John D Osborne, Jared Flatow, Michelle Holko, Simon M Lin, Warren A Kibbe in BMC Genomics (2009)

  5. Article

    Open Access

    Comparative genome analysis of Mycoplasma pneumoniae

    Mycoplasma pneumoniae is a common pathogen that causes upper and lower respiratory tract infections in people of all ages, responsible for up to 40 % of community-acquired pneumonias. ...

    Li **ao, Travis Ptacek, John D. Osborne, Donna M. Crabb, Warren L. Simmons in BMC Genomics (2015)

  6. Article

    Open Access

    CUILESS2016: a clinical corpus applying compositional normalization of text mentions

    Traditionally text mention normalization corpora have normalized concepts to single ontology identifiers (“pre-coordinated concepts”). Less frequently, normalization corpora have used concepts with multiple id...

    John D. Osborne, Matthew B. Neu, Maria I. Danila in Journal of Biomedical Semantics (2018)

  7. Article

    Open Access

    Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection

    The semantics of entities extracted from a clinical text can be dramatically altered by modifiers, including entity negation, uncertainty, conditionality, severity, and subject. Existing models for determining...

    Abdullateef I. Almudaifer, Whitney Covington in Journal of Biomedical Semantics (2024)