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- 1108292 classification C1.
- 1108292 date "2010".
- 1108292 language "eng".
- 1108292 type conference.
- 1108292 hasPart 1108332.pdf.
- 1108292 subject "Science General".
- 1108292 doi "10.1109/BIBMW.2010.5703800".
- 1108292 isbn "9781424483020".
- 1108292 isbn "9781424483037".
- 1108292 presentedAt urn:uuid:6d33a2c4-0598-4460-8604-6343e420a323.
- 1108292 abstract "Because of their simplicity, boolean networks are a popular formalism to model gene regulatory networks. However, they have their limitations, including their inability to formally and unambiguously define network behaviour, and their lack of the possibility to model meta interactions, i.e., interactions that target other interactions. In this paper we develop an answer set programming (ASP) framework that supports threshold boolean network semantics and extends it with the capability to model meta interactions. The framework is easy to use but sufficiently flexible to express intricate interactions that go beyond threshold network semantics as we illustrate with an example of a Mammalian cell cycle network. Moreover, readily available answer set solvers can be used to find the steady states of the network.".
- 1108292 author 19B73604-F0EE-11E1-A9DE-61C894A0A6B4.
- 1108292 author F5731010-F0ED-11E1-A9DE-61C894A0A6B4.
- 1108292 author F607B454-F0ED-11E1-A9DE-61C894A0A6B4.
- 1108292 author F89D17E0-F0ED-11E1-A9DE-61C894A0A6B4.
- 1108292 author urn:uuid:9ecbcb4a-3f5e-484d-904c-96f44fed3773.
- 1108292 dateCreated "2011-01-21T15:25:43Z".
- 1108292 dateModified "2024-07-09T07:55:38Z".
- 1108292 name "Extending boolean regulatory network models with answer set programming".
- 1108292 pagination urn:uuid:1c40683d-18e6-4f8a-8547-99a05286e152.
- 1108292 publisher urn:uuid:416079d4-9b72-4381-a36a-026f5b00e9fa.
- 1108292 sameAs LU-1108292.
- 1108292 sourceOrganization urn:uuid:6c2f07f5-b08f-4431-abfa-15d48aae40fe.
- 1108292 type C1.