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The values for the example was a=0.65 and ϕ=0.78 which provided a maximum inner CGD of 0.70. Figure 8 The optimisation of a and ϕ value of the Example 1 network.
In Figure 9, the mutual CGD is shown for Example 1 for the search range of θ. Figure 9 The optimisation of θ values for the Example 1 network.
The values for the example data are 0.44 and 0.59, respectively.
Red and blue circles (S- and L-group members, respectively) highlight the values for the example cells shown in Figure 1.
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The final CRV value of cluster C is computed as the sum of all the CRV values for the examples contained in the cluster: begin{aligned} mathrm {CRV}_{C}=sum _{iin C} mathrm {CRV}_i.
We find this value for the example of an Erdos-Renyi random graph model.
To accelerate finding average PU value for an element we calculated them only for the contexts of 11, 15, 20, 25 and 30 nt according to [ 2], a method which produced consistent results for perfect loop configuration (PU = 1), perfect stem configuration (PU = 0) and a very similar PU value for the example in [ 2] for natural pre-mRNA structure supporting TCTCTCT element.
Top row, example fits for individual animals are shown with black lines indicating time, coloured lines indicating regression fit and R2 values indicated for the example fit.
The calculated values for this example are summarized in Table 4.
Figure 5 shows the CI and RI values for the two example hospitals plotted against each other.
We would like to mention that Mathematica has been used to obtain the exact values for the three examples where eigenvalues cannot be computed concretely.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com