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- Publisher Website: 10.1049/iet-syb.2008.0173
- Scopus: eid_2-s2.0-71949091165
- PMID: 19947771
- WOS: WOS:000272502400003
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Conference Paper: Generating probabilistic Boolean networks from a prescribed transition probability matrix
Title | Generating probabilistic Boolean networks from a prescribed transition probability matrix |
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Authors | |
Issue Date | 2009 |
Publisher | The Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-SYB |
Citation | 2nd International Symposium on Optimization and Systems Biology (OSB 2008), Lijiang, China, 31 October - 3 November 2008. In IET Systems Biology, 2009, v. 3 n. 6, p. 453-464 How to Cite? |
Abstract | Probabilistic Boolean networks (PBNs) have received much attention in modeling genetic regulatory networks. A PBN can be regarded as a Markov chain process and is characterised by a transition probability matrix. In this study, the authors propose efficient algorithms for constructing a PBN when its transition probability matrix is given. The complexities of the algorithms are also analysed. This is an interesting inverse problem in network inference using steady-state data. The problem is important as most microarray data sets are assumed to be obtained from sampling the steady-state. © 2009 © The Institution of Engineering and Technology. |
Persistent Identifier | http://hdl.handle.net/10722/75388 |
ISSN | 2023 Impact Factor: 1.9 2023 SCImago Journal Rankings: 0.365 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Ching, WK | en_HK |
dc.contributor.author | Chen, X | en_HK |
dc.contributor.author | Tsing, NK | en_HK |
dc.date.accessioned | 2010-09-06T07:10:39Z | - |
dc.date.available | 2010-09-06T07:10:39Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | 2nd International Symposium on Optimization and Systems Biology (OSB 2008), Lijiang, China, 31 October - 3 November 2008. In IET Systems Biology, 2009, v. 3 n. 6, p. 453-464 | en_HK |
dc.identifier.issn | 1751-8849 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/75388 | - |
dc.description.abstract | Probabilistic Boolean networks (PBNs) have received much attention in modeling genetic regulatory networks. A PBN can be regarded as a Markov chain process and is characterised by a transition probability matrix. In this study, the authors propose efficient algorithms for constructing a PBN when its transition probability matrix is given. The complexities of the algorithms are also analysed. This is an interesting inverse problem in network inference using steady-state data. The problem is important as most microarray data sets are assumed to be obtained from sampling the steady-state. © 2009 © The Institution of Engineering and Technology. | en_HK |
dc.language | eng | en_HK |
dc.publisher | The Institution of Engineering and Technology. The Journal's web site is located at http://www.ietdl.org/IP-SYB | en_HK |
dc.relation.ispartof | IET Systems Biology | en_HK |
dc.subject.mesh | Gene Regulatory Networks | - |
dc.subject.mesh | Markov Chains | - |
dc.subject.mesh | Models, Genetic | - |
dc.subject.mesh | Models, Statistical | - |
dc.subject.mesh | Systems Biology - methods | - |
dc.title | Generating probabilistic Boolean networks from a prescribed transition probability matrix | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Ching, WK:wching@hku.hk | en_HK |
dc.identifier.email | Tsing, NK:nktsing@hku.hk | en_HK |
dc.identifier.authority | Ching, WK=rp00679 | en_HK |
dc.identifier.authority | Tsing, NK=rp00794 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1049/iet-syb.2008.0173 | en_HK |
dc.identifier.pmid | 19947771 | - |
dc.identifier.scopus | eid_2-s2.0-71949091165 | en_HK |
dc.identifier.hkuros | 168367 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-71949091165&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 3 | en_HK |
dc.identifier.issue | 6 | en_HK |
dc.identifier.spage | 453 | en_HK |
dc.identifier.epage | 464 | en_HK |
dc.identifier.eissn | 1751-8857 | - |
dc.identifier.isi | WOS:000272502400003 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Ching, WK=13310265500 | en_HK |
dc.identifier.scopusauthorid | Chen, X=24334384300 | en_HK |
dc.identifier.scopusauthorid | Tsing, NK=6602663351 | en_HK |
dc.identifier.issnl | 1751-8849 | - |