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: | Louis Fippo Fitime, Olivier Roux, Carito Guziolowski, Loïc Paulevé |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2017-07-01
|
Series: | Algorithms for Molecular Biology |
Online Access: | http://link.springer.com/article/10.1186/s13015-017-0110-3 |
Similar Items
-
Discriminate the response of Acute Myeloid Leukemia patients to treatment by using proteomics data and Answer Set Programming
by: Lokmane Chebouba, et al.
Published: (2018-03-01) -
Computational discovery of dynamic cell line specific Boolean networks from multiplex time-course data.
by: Misbah Razzaq, et al.
Published: (2018-10-01) -
BioQuali Cytoscape plugin: analysing the global consistency of regulatory networks
by: Moreews Francois, et al.
Published: (2009-05-01) -
Modeling biological systems with Answer Set Programming
by: Thiele, Sven
Published: (2011) -
Inferring the role of transcription factors in regulatory networks
by: Le Borgne Michel, et al.
Published: (2008-05-01)