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The ExceptionFlowAnalyzer class defines the analyze method, which parses all the SPL code assets and creates a program dependency graph (PDG) in terms of instances of the ClassNode and MethodNode classes of the Design Wizard tool.
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The analyzed method is well suited to the proposed application, because the image just includes a single object (heart), with highly localized relative movements of expansion and contraction.
The analyzed methods are robust to inaccurate alignment, face occlusions, and variations in expressions, to a large degree.
The analyzed methods for p-value combination assume statistical independence of the input data.
Overall, Fisher's inverse chi-square method is most predominantly used for combining p-values among the analyzed methods.
Only a subset of the analyzed methods yield approximately symmetric distributions, these are the 75% percentile normalization, MAD scale normalization, Variance Stabilization, LOESS, and Quantile Normalization.
As the analyzing method, the stochastic frontier is used as well as the metafrontier.
Then, we analyze the fluctuating condition by using the pairwise-invasibility plot (PIP), which is a tool in the analyzing method.
Specifically, the standard parameters for each analyzed method are listed in Additional file 2: Table S1.
Multiple pairwise comparisons between the analyzing methods were performed to examine whether significant differences occur using a paired t-test for the normally distributed data.
The key technology is the landscape spatial pattern analyzing methods.
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