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rdf:type |
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lifeskim:mentions |
umls-concept:C0026336,
umls-concept:C0026339,
umls-concept:C0205460,
umls-concept:C0220905,
umls-concept:C0332290,
umls-concept:C0871161,
umls-concept:C0936012,
umls-concept:C1516627,
umls-concept:C1538023,
umls-concept:C1836205,
umls-concept:C1882071,
umls-concept:C2347946
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pubmed:issue |
12
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pubmed:dateCreated |
2010-12-23
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pubmed:abstractText |
A number of studies have previously demonstrated that "goodness of fit" is insufficient in reliably classifying the credibility of a biological model. Robustness and/or sensitivity analysis is commonly employed as a secondary method for evaluating the suitability of a particular model. The results of such analyses invariably depend on the particular parameter set tested, yet many parameter values for biological models are uncertain.
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pubmed:grant |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1932-6203
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
5
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
e15589
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pubmed:meshHeading |
pubmed-meshheading:21179566-Algorithms,
pubmed-meshheading:21179566-Arabidopsis,
pubmed-meshheading:21179566-Circadian Clocks,
pubmed-meshheading:21179566-Circadian Rhythm,
pubmed-meshheading:21179566-Computer Simulation,
pubmed-meshheading:21179566-Gene Expression Regulation, Plant,
pubmed-meshheading:21179566-Gene Regulatory Networks,
pubmed-meshheading:21179566-Glycolysis,
pubmed-meshheading:21179566-Models, Genetic,
pubmed-meshheading:21179566-Models, Statistical,
pubmed-meshheading:21179566-Models, Theoretical,
pubmed-meshheading:21179566-Oscillometry,
pubmed-meshheading:21179566-Signal Transduction
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pubmed:year |
2010
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pubmed:articleTitle |
Consistent robustness analysis (CRA) identifies biologically relevant properties of regulatory network models.
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pubmed:affiliation |
Department of Biological Sciences, Institute of Molecular Plant Sciences, University of Edinburgh, Edinburgh, United Kingdom.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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