Biomedical statistic
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Systems biology models, such as those found in BioModels Database1, typically have outputs in the form of time courses. It
follows that if one wants to parameterize such a model, the most useful dataset
would be the corresponding experimental time courses. However, time-course data
may be unavailable, limited, or corrupted by noise.
Much of
the experimental data collected in biology are qualitative, categorical
characterizations, such as activating or repressing, oscillatory or
non-oscillatory, or lower or higher relative to a control. In contrast,
quantitative data are numerical and may take the form of a time course, a
steady-state dose-response curve, a distribution, or a ratio.
Sources:Le Novère, N. et al. BioModels Database
March 2019 29-30
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