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Machine learning alternative to systems biology should not solely depend on data
In recent years, artificial intelligence (AI)/machine learning has emerged as a plausible alternative to systems biology for the elucidation of biological phenomena and in attaining specified design objective in synthetic biology. Although considered highly disruptive with numerous notable successes...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9677488/ https://www.ncbi.nlm.nih.gov/pubmed/36184188 http://dx.doi.org/10.1093/bib/bbac436 |