Automating Knowledge-Driven Model Recommendation: Methodology, Evaluation, and Key Challenges
Automating Knowledge-Driven Model Recommendation: Methodology, Evaluation, and Key Challenges
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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There is significant interest in using existing repositories of biological entities, relationships, and models to automate biological model assembly and extension. Current methods aggregate human-curated biological information into executable, simulatable models, but these models do not resemble human curated models and do not recapitulate experime...
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Automating Knowledge-Driven Model Recommendation: Methodology, Evaluation, and Key Challenges
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TN_cdi_proquest_journals_2770815430
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2770815430
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2331-8422
