Repairing Boolean logical models from time-series data using Answer Set Programming

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...

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Bibliographic Details
Main Authors: Alexandre Lemos, Inês Lynce, Pedro T. Monteiro
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Algorithms for Molecular Biology
Subjects:
Biological regulatory networks
Boolean functions
Model repair
(A)synchronous dynamics
Answer Set Programming
Online Access:http://link.springer.com/article/10.1186/s13015-019-0145-8

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http://link.springer.com/article/10.1186/s13015-019-0145-8

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