Natural language processing: put your model where your mouth is
| Autor: | Rachel A Haggerty, Jeremy E Purvis |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Molecular Systems Biology, Vol 13, Iss 12, Pp 1-3 (2017) |
| Druh dokumentu: | article |
| ISSN: | 20178077 1744-4292 |
| DOI: | 10.15252/msb.20178077 |
| Popis: | Abstract 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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