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Volumn 25, Issue 11, 2009, Pages 1453-1454

GNU MCSim: Bayesian statistical inference for SBML-coded systems biology models

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; CONTROLLED STUDY; MARKUP LANGUAGE; MONTE CARLO METHOD; NONHUMAN; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; SYSTEMS BIOLOGY; UNCERTAINTY;

EID: 65649097629     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp162     Document Type: Article
Times cited : (117)

References (10)
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    • Bois, F.Y.1
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    • Gear, C.W.1
  • 5
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    • The systems biology markup language (SBML): A medium for representation and exchange of biochemical network models
    • Hucka,M. et al. (2003) The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinformatics, 19, 524-531.
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    • Hucka, M.1
  • 8
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    • Pritchard.L and Kell,D.B. (2002) Schemes of flux control in a model of Saccharomyces cerevisiae glycolysis. Eur. J. Biochem., 269, 3894-3904.
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  • 9
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    • Bayesian model-based inference of transcription factor activity
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.