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Repairing Boolean logical models from time-series data using Answer Set Programming
BACKGROUND: Boolean models of biological signalling-regulatory networks are increasingly used to formally describe and understand complex biological processes. These models may become inconsistent as new data become available and need to be repaired. In the past, the focus has been shed on the infer...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434824/ https://www.ncbi.nlm.nih.gov/pubmed/30962813 http://dx.doi.org/10.1186/s13015-019-0145-8 |