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Our method effectively identified the statistical differences from the overall structure.
Our developed method effectively identified the coexpression pattern differences from the overall structure.
Our method effectively identified the statistical differences between the normal and the CML groups from the overall structure.
Our developed method effectively identified the coexpression pattern differences from the overall structure: P value = 1.71 × 10−22 < 0.05 for the maximum deviation D = 0.109.
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The simulation results show that the proposed method effectively identifies the source of various types of faults.
The evaluation method effectively identifies which model better reproduces the topology of the real network among the given models and help infer the underlying growth mechanisms of the Drosophila network.
These methods effectively identify average kinases but are often unable to identify novel or divergent superfamily members; moreover, classification based on Pfam and Kinomer HMMs does not exceed the group level.
The proposed method (PM) effectively identified critical genes in these studies based on comparison with the current method (CM).
The experimental results show that the proposed method can effectively identify different leak apertures, and the leak location accuracy is better than that of the direct cross-correlation method.
The validation by experimentally confirmed target databases suggests that the proposed method can effectively identify direct miRNA mRNA regulatory relationships.
The experiment results further verified that the proposed method can effectively identify the instantaneous frequencies of time-varying structures with a high accuracy.
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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