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Data-driven learning of Boolean networks and functions by optimal causation entropy principle
Boolean functions, and networks thereof, are useful for analysis of complex data systems, including from biological systems, bioinformatics, decision making, medical fields, and finance. However, automated learning of a Boolean networked function, from data, is a challenging task due in part to the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676542/ https://www.ncbi.nlm.nih.gov/pubmed/36419440 http://dx.doi.org/10.1016/j.patter.2022.100631 |