Universally Sloppy Parameter Sensitivities in Systems Biology Models
نویسندگان
چکیده
منابع مشابه
Universally Sloppy Parameter Sensitivities in Systems Biology Models
Quantitative computational models play an increasingly important role in modern biology. Such models typically involve many free parameters, and assigning their values is often a substantial obstacle to model development. Directly measuring in vivo biochemical parameters is difficult, and collectively fitting them to other experimental data often yields large parameter uncertainties. Neverthele...
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Computational models are increasingly used to understand and predict complex biological phenomena. These models contain many unknown parameters, at least some of which are difficult to measure directly, and instead are estimated by fitting to time-course data. Previous work has suggested that even with precise data sets, many parameters are unknowable by trajectory measurements. We examined thi...
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ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2005
ISSN: 1553-734X,1553-7358
DOI: 10.1371/journal.pcbi.0030189.eor