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For the distribution of CpGO/E values, a two-component mixture model provided substantially better fit than a single component model [Additional file 1] and as a consequence, we modeled the distribution with a two-component model.
Interestingly, a single component model failed to fit the data when the enhancer sites become more and more densely clustered while a two-component model fits the entire range of cluster density data well.
We found that a two-component model provided substantially better fit than a single component model [see Additional file 1 for trace of BIC for different numbers of components].
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Three single component models were also analysed to assess their ability to predict poor control.
Eight binary (Yes = poor control, No = good control) models of asthma control were constructed from a large UK primary care dataset: the Royal College of Physicians 3-Questions (RCP-3Qs); the Jones Morbidity Index; three composite measures; three single component models.
Thus, the signal model may be simplified to a single-component model.
Because of the dominance of the major microviscosity, one could argue that the minor microviscosity should be ignored and a single-component model used instead.
The fit of a single-component model and a two-component model to our data was calculated with AICs (second-order, or corrected for sample size).
When MEMFCS is applied to autocorrelated data from eGFP-CaM in buffer, it agrees extremely well with the single-component model (see Fig. S2 in Data S1).
The slope of the decay on the correlated data is the reason the single-component model (fcs, τD ∼ 6.85 ms) does not fit the crowded data and appears too high to the left of the point of inflection, G τD), and too low to the right, so we discard a single-component model as inappropriate to fit this data.
The axial/radial volume aspect ratio (K), when allowed to vary, increases from 3.2, obtained in buffer, to ∼6 at 30% (w/v) crowding level of dextran when fit with the single-component model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com