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Toward a curated CellML model repository.

David Nickerson1, Carey Stevens, Matt Halstead

  • 1Bioeng. Inst., Auckland Univ. d.nickerson@auckland.ac.nz

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
PubMed
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A new curation method for CellML models ensures accuracy in public repositories. This approach validates experimental data and mathematical models, enhancing trust and usability for researchers in physiological modeling.

Area of Science:

  • Computational Biology
  • Physiological Modeling

Background:

  • Publicly accessible repositories for experimental data and physiological models are emerging.
  • Ensuring the accuracy and reliability of descriptions within these repositories is crucial for community acceptance.

Purpose of the Study:

  • To define a curation method for CellML encoded models.
  • To propose a workflow for integrating this curation into the CellML model repository.

Main Methods:

  • Development of a novel curation technique specifically for CellML models.
  • Integration of the proposed curation method into a standard model repository workflow.

Main Results:

  • The defined curation method provides an indication of how accurately CellML descriptions represent experimental data or mathematical models.

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  • The proposed workflow facilitates the incorporation of curated models into the CellML repository.

    • Conclusions:

    • The developed curation method enhances the trustworthiness of CellML models in public repositories.
    • Implementing this workflow improves the quality and reliability of shared physiological models and data.