Predicting weighted unobserved nodes in a regulatory network using answer set programming
Abstract Background The impact of a perturbation, over-expression, or repression of a key node on an organism, can be modelled based on a regulatory and/or metabolic network. Integration of these two networks could improve our global understanding of biological mechanisms triggered by a perturbation...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-08-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05429-3 |