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An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE
Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676479/ https://www.ncbi.nlm.nih.gov/pubmed/36419439 http://dx.doi.org/10.1016/j.patter.2022.100617 |
| Sumario: | Building predictive models from data is an important and challenging task in many fields including biology, medicine, engineering, and economy. In this issue, Sun et al.(1) present a method for the inference of Boolean networks along with practical applications. |
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