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We constructed the weighted predictiveness curves.
For the discrimination abilities of family history of diabetes, we constructed the weighted ROC curves and calculated the C statistics (35).
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Since the model for X with Zs and Y contains the parameters of interest, the weighted likelihood function can be iteratively maximized: estimating the weights using the current parameter estimates; and constructing the weighted likelihood function, which can then be maximized to update the parameter estimates.
We integrate weights into the CPT to construct the weighted BN, and the reasoning formula 3 is improved as follows: {text{P}}(v|V_{1},V_{2} ldots,V_{n} ) = {text{P}}left( v right)mathop prod limits_{i = 1}^{n} {text{P}}left( {V_{i} |v} right)^{{w_{i} }} (8 where (w_{i}) is the weight of each assessment indicator.
Corresponding to the widely used parametric methods of Bernoulli and Poisson spatial-temporal scan statistic and spatio-temporal permutation scan statistic [40], the method of stRRF presented in this study can be extended to construct the weighted stRRF with counts and population at risk as weights and stKDE-based spatio-temporal permutation analysis, respectively.
In the proposed method, the NC method is used for constructing the weighted graph that expresses the correlation-based similarities between samples and the constructed graph is partitioned by using spectral clustering.
Then, it constructs the weighted evaluating matrix of each decision maker and calculates the aggregated evaluating value of each alternative with respect to each decision maker for constructing the aggregated evaluating matrix of all decision makers.
We used this dataset to construct the weighted directed network of interaction among cells.
Nodes and edges are defined from the previous results in constructing the weighted, undirected network.
A CID matrix is used to construct the weighted gene co-expression network produced by a WGCNA.
The following steps to construct the weighted gene co-expression network were analogue to those of the well-known WGCNA package in R (Langfelder and Horvath 2008).
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