Identification of bifurcation transitions in biological regulatory networks using Answer-Set Programming
Abstract Background Numerous cellular differentiation processes can be captured using discrete qualitative models of biological regulatory networks. These models describe the temporal evolution of the state of the network subject to different competing transitions, potentially leading the system to...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2017-07-01
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Series: | Algorithms for Molecular Biology |
Online Access: | http://link.springer.com/article/10.1186/s13015-017-0110-3 |