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The next proposition provides a working criterion for a module to have couniserial dimension.
The operations related to m-DKLS algorithm could also be easily implemented into a separated module to have the communications independent from the algorithm.
As the conditions for a software module to have defects are hard to identify, machine learning based classification models are still developed to approach the problem of defect prediction.
SM modules were simulated by first selecting a random gene from the module to have a high probability (p = 0.8) and the rest a low probability (p = 0.2/ n-1)).
(R3) Respondents highlighted examples of how they perceived the module to have benefited their students (cf. Quote #1).
Unlike our method, the Peng-Li method requires every miRmR pair in a module to have a statistically significant association.
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We considered two modules to have significant overlap of functional enrichment if there were 4 genes in each module from a given category and enrichment p-values were less than p < 0.01 for the category in all modules.
The user can then click on the module name to have a detailed list of the module genes and regulators.
From our data, providers' perceptions about the module appear to have the strongest influence on decisions about whether the module should be used in the practice.
The two modules tend to have functional collaborations and Module One seems to be the central player in contributing to tumorigenesis.
Edges between modules tend to have more shortest paths running through them than edges inside modules, thus show higher betweenness values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com