Repairing Boolean logical models from time-series data using Answer Set Programming
Abstract 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 t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-03-01
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| Series: | Algorithms for Molecular Biology |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13015-019-0145-8 |