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The steps of identifying a significant subnetwork by Heinz algorithm are as follows: firstly, calculate the scores of all the nodes by the score function.
Thus, each pair (A i, B j ) is evaluated with respect to a query set S by the score function given in (4), rewritten after taking a logarithm and dropping constants as: (5) The exact details of our procedure are as follows.
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In the shape complementarity evaluation, the surface contact between proteins represented by the grid points is evaluated by using the score function of the contact surface area.
The diversity rank function is attained by sorting the score function and generating ranks, giving (r_{ p,q)}).
By comparing the score function and the accuracy function values of integrated fuzzy numbers, a ranking of the whole alternative set was attained.
This estimator is then differentiated by means of the score function approach which enables the estimation of the gradient of the failure probability without any additional call to the limit-state function (nor its Kriging emulator).
However, the flexible docking method is also seriously limited by the accuracy of the score function it used, so the ratio of excellent docking cannot be increased.
Bias-corrected maximum likelihood estimates can be obtained with the help of supplementary weighted regression [ 7] or by suitable modification of the score function [ 3].
From the experimental results, we see that the performance of the PA model with score function defined by Eq. (23) is clearly better than that of the score function defined by Eq. (6).
There are no closed form solutions to the nonlinear equations obtained by setting the elements of the score function to zero.
The results also show that the combination of the PA model and the score function defined by Eq. (23) is superior than other combinations by a significant margin.
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