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Volumn 31, Issue 4, 2015, Pages 604-605

SYSBIONS: Nested sampling for systems biology

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; BAYES THEOREM; BIOLOGICAL MODEL; PROBABILITY; PROCEDURES; SOFTWARE; SYSTEMS BIOLOGY;

EID: 84928991581     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu675     Document Type: Article
Times cited : (21)

References (12)
  • 1
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    • Nested sampling for parameter inference in systems biology: Application to an exemplar circadian model
    • Aitken, S. and Akman, O.E. (2013) Nested sampling for parameter inference in systems biology: application to an exemplar circadian model. BMC Syst. Biol., 7, 72.
    • (2013) BMC Syst. Biol. , vol.7 , pp. 72
    • Aitken, S.1    Akman, O.E.2
  • 2
    • 84857302692 scopus 로고    scopus 로고
    • Exploring the energy landscapes of protein folding simulations with Bayesian computation
    • Burkoff, N.S. et al. (2012) Exploring the energy landscapes of protein folding simulations with Bayesian computation. Biophys. J., 102, 878-886.
    • (2012) Biophys. J. , vol.102 , pp. 878-886
    • Burkoff, N.S.1
  • 4
    • 84893374049 scopus 로고    scopus 로고
    • Nested sampling for Bayesian model comparison in the context of Salmonella disease dynamics
    • Dybowski, R. et al. (2013) Nested sampling for Bayesian model comparison in the context of Salmonella disease dynamics. PLoS One, 8, e82317.
    • (2013) PLoS One , vol.8 , pp. e82317
    • Dybowski, R.1
  • 5
    • 70349215183 scopus 로고    scopus 로고
    • MultiNest: An efficient and robust Bayesian inference tool for cosmology and particle physics
    • Feroz, F. et al. (2009) MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics. Mon. Not. R. Astron. Soc., 398, 1601-1614.
    • (2009) Mon. Not. R. Astron. Soc. , vol.398 , pp. 1601-1614
    • Feroz, F.1
  • 6
    • 85023622202 scopus 로고    scopus 로고
    • Model selection in systems and synthetic biology
    • Kirk, P. et al. (2013) Model selection in systems and synthetic biology. Curr. Opin. Biotech., 21, 1-8.
    • (2013) Curr. Opin. Biotech. , vol.21 , pp. 1-8
    • Kirk, P.1
  • 7
    • 77954487004 scopus 로고    scopus 로고
    • ABC-SysBio-approximate Bayesian computation in Python with GPU support
    • Liepe, J. et al. (2010) ABC-SysBio-approximate Bayesian computation in Python with GPU support. Bioinformatics, 26, 1797-1799.
    • (2010) Bioinformatics , vol.26 , pp. 1797-1799
    • Liepe, J.1
  • 8
    • 33644772615 scopus 로고    scopus 로고
    • A nested sampling algorithm for cosmological model selection
    • Mukherjee, P. et al. (2006) A nested sampling algorithm for cosmological model selection. Astrophys. J., 638, L51-L54.
    • (2006) Astrophys. J. , vol.638 , pp. L51-L54
    • Mukherjee, P.1
  • 9
    • 84895766683 scopus 로고    scopus 로고
    • Bayesian model comparison and parameter inference in systems biology using nested sampling
    • Pullen, N. and Morris, R.J. (2014) Bayesian model comparison and parameter inference in systems biology using nested sampling. PLoS One, 9, e88419.
    • (2014) PLoS One , vol.9 , pp. e88419
    • Pullen, N.1    Morris, R.J.2
  • 10
    • 33947623106 scopus 로고    scopus 로고
    • SBMLeditor: Effective creation of models in the Systems Biology Markup Language (SBML)
    • Rodriguez, N. et al. (2007) SBMLeditor: effective creation of models in the Systems Biology Markup Language (SBML). BMC Bioinformatics, 8, 79.
    • (2007) BMC Bioinformatics , vol.8 , pp. 79
    • Rodriguez, N.1
  • 12
    • 35148901361 scopus 로고    scopus 로고
    • Nested sampling for general Bayesian computation
    • Skilling, J. (2006) Nested sampling for general Bayesian computation. Bayesian Anal., 1, 833-860.
    • (2006) Bayesian Anal. , vol.1 , pp. 833-860
    • Skilling, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.