265 related articles for article (PubMed ID: 21544955)
1. Modelling gene and protein regulatory networks with answer set programming.
Fayruzov T; Janssen J; Vermeir D; Cornelis C; De Cock M
Int J Data Min Bioinform; 2011; 5(2):209-29. PubMed ID: 21544955
[TBL] [Abstract][Full Text] [Related]
2. Refining network reconstruction based on functional reliability.
Zhang Y; Ouyang Q; Geng Z
J Theor Biol; 2014 Jul; 353():170-8. PubMed ID: 24631047
[TBL] [Abstract][Full Text] [Related]
3. Scalable steady state analysis of Boolean biological regulatory networks.
Ay F; Xu F; Kahveci T
PLoS One; 2009 Dec; 4(12):e7992. PubMed ID: 19956604
[TBL] [Abstract][Full Text] [Related]
4. Boolean factor graph model for biological systems: the yeast cell-cycle network.
Kotiang S; Eslami A
BMC Bioinformatics; 2021 Sep; 22(1):442. PubMed ID: 34535069
[TBL] [Abstract][Full Text] [Related]
5. Overexpression limits of fission yeast cell-cycle regulators in vivo and in silico.
Moriya H; Chino A; Kapuy O; Csikász-Nagy A; Novák B
Mol Syst Biol; 2011 Dec; 7():556. PubMed ID: 22146300
[TBL] [Abstract][Full Text] [Related]
6. Cell-cycle control of gene expression in budding and fission yeast.
Bähler J
Annu Rev Genet; 2005; 39():69-94. PubMed ID: 16285853
[TBL] [Abstract][Full Text] [Related]
7. Neutral space analysis for a Boolean network model of the fission yeast cell cycle network.
Ruz GA; Timmermann T; Barrera J; Goles E
Biol Res; 2014 Nov; 47(1):64. PubMed ID: 25723815
[TBL] [Abstract][Full Text] [Related]
8. Deconstruction and dynamical robustness of regulatory networks: application to the yeast cell cycle networks.
Goles E; Montalva M; Ruz GA
Bull Math Biol; 2013 Jun; 75(6):939-66. PubMed ID: 23188157
[TBL] [Abstract][Full Text] [Related]
9. A reverse engineering approach to optimize experiments for the construction of biological regulatory networks.
Zhang X; Shao B; Wu Y; Qi O
PLoS One; 2013; 8(9):e75931. PubMed ID: 24069453
[TBL] [Abstract][Full Text] [Related]
10. Logical modelling of regulatory networks with GINsim 2.3.
Naldi A; Berenguier D; Fauré A; Lopez F; Thieffry D; Chaouiya C
Biosystems; 2009 Aug; 97(2):134-9. PubMed ID: 19426782
[TBL] [Abstract][Full Text] [Related]
11. Inferring orthologous gene regulatory networks using interspecies data fusion.
Penfold CA; Millar JB; Wild DL
Bioinformatics; 2015 Jun; 31(12):i97-105. PubMed ID: 26072515
[TBL] [Abstract][Full Text] [Related]
12. Cell cycle molecules and mechanisms of the budding and fission yeasts.
Humphrey T; Pearce A
Methods Mol Biol; 2005; 296():3-29. PubMed ID: 15576924
[TBL] [Abstract][Full Text] [Related]
13. Optimising Boolean Synthetic Regulatory Networks to Control Cell States.
Taou N; Lones M
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2649-2658. PubMed ID: 32078555
[TBL] [Abstract][Full Text] [Related]
14. Boolean Models of Biological Processes Explain Cascade-Like Behavior.
Chen H; Wang G; Simha R; Du C; Zeng C
Sci Rep; 2016 Jan; 7():20067. PubMed ID: 26821940
[TBL] [Abstract][Full Text] [Related]
15. An Extended, Boolean Model of the Septation Initiation Network in S.Pombe Provides Insights into Its Regulation.
Chasapi A; Wachowicz P; Niknejad A; Collin P; Krapp A; Cano E; Simanis V; Xenarios I
PLoS One; 2015; 10(8):e0134214. PubMed ID: 26244885
[TBL] [Abstract][Full Text] [Related]
16. Boolean network model predicts knockout mutant phenotypes of fission yeast.
Davidich MI; Bornholdt S
PLoS One; 2013; 8(9):e71786. PubMed ID: 24069138
[TBL] [Abstract][Full Text] [Related]
17. Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method.
Dorier J; Crespo I; Niknejad A; Liechti R; Ebeling M; Xenarios I
BMC Bioinformatics; 2016 Oct; 17(1):410. PubMed ID: 27716031
[TBL] [Abstract][Full Text] [Related]
18. Dynamical and topological robustness of the mammalian cell cycle network: a reverse engineering approach.
Ruz GA; Goles E; Montalva M; Fogel GB
Biosystems; 2014 Jan; 115():23-32. PubMed ID: 24212100
[TBL] [Abstract][Full Text] [Related]
19. Binary threshold networks as a natural null model for biological networks.
Rybarsch M; Bornholdt S
Phys Rev E Stat Nonlin Soft Matter Phys; 2012 Aug; 86(2 Pt 2):026114. PubMed ID: 23005832
[TBL] [Abstract][Full Text] [Related]
20. Growing seed genes from time series data and thresholded Boolean networks with perturbation.
Higa CH; Andrade TP; Hashimoto RF
IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(1):37-49. PubMed ID: 23702542
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
