Natural language processing: put your model where your mouth is
Molecular mechanisms are often described using “word models”—phrases intended to capture the interactions in a biological process. In their recent work, Sorger and colleagues (Gyori et al, 2017) provide a framework for converting word models into computational structures that can be simulated and compared to experimental data. By codifying word‐based descriptions of molecular phenomena, scientific communities can better evaluate, compare, and share mechanistic insights.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Natural language processing: put your model where your mouth is ; volume:13 ; number:12 ; year:2017 ; extent:3
Molecular systems biology ; 13, Heft 12 (2017) (gesamt 3)
- Creator
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Haggerty, Rachel A.
Purvis, Jeremy E.
- DOI
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10.15252/msb.20178077
- URN
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urn:nbn:de:101:1-2022100605471386672475
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Haggerty, Rachel A.
- Purvis, Jeremy E.