Using p ^ i as the predicted probability for the ith patient, where m > 0 patients have p ^ ≥ p t, net benefit is calculated as: Net benefit = ∑ i = 1 m p ^ i − ∑ i = 1 m (1 − p ^ i ) (p t 1 − p t ) A decision curve for the principal example, calculated using this formulation rather than outcome data, is given in figure 8.
Since the exact solutions of the problems are not known, the maximum absolute errors for the examples are calculated using the following double mesh principle: E_{varepsilon}^{{N}} = max_{0 le i le N}biglvert y_{i}^{N} - y_{2i}^{2N} bigrvert.
The predicted f m magnitudes for this specific example are calculated using Eqs. 1 and 2 and the results are shown below.
The gene-regulation function of the PHO5 example was calculated using the matrix-tree formula in Equation 7 and is shown in full in Additional file 1C.
If the exported crop undergoes some industrial transformation, such as milling, the raw crop equivalent of the exported product, i.e. the paddy equivalent in our example, is calculated using the conversion rate of paddy into milled rice, and the cost of milling is deducted.
For example, when calculated using an alignment without the variable spacer region, the FtsZ of Aquifex aeolicus, widely considered a deep-branching bacterium, exhibits a similarity to VerFtsZ of only 36.8%, yet shows a similarity of at least 42% to the other representative FtsZs, and other Bacterial FtsZs often display greater similarity to any other Bacterial FtsZs than to VerFtsZ.
For example, electrostatic potentials calculated using the finite-difference Poisson Boltzmann (FDPB) method could be displayed on the molecular surface.
For example, ADC values calculated using or including low b values (≤100 s mm−2) are higher because perfusional effects are included.
We also describe the uncertainty and correlation calculations performed, provide a map of the data flow through the program, and present representative examples of PMF profiles calculated using OFR-AT.
As in the previous example, the weights are calculated using the model and grid defined for dataset 3, but this time the routine will not overwrite wgts.dat if it already exists.
