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The imputer module can impute missing values (e.g., nan) in the data.
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This method can impute missing genotypes with greater accuracy than can other common imputation methods, for example, beagle.
Each module can be used with multiple patients.
Entire areas of a module can be fundamentally altered overnight.
Also, through abstraction, the details of sub-modules (modules inside a module) can be hidden.
In this way, each module can be mutually nonsignificant with more than one other module.
Thus, this module can be identified as a potential tumor suppressor module.
This module can be seen in Figure 7.
Specifically, the black module can be considered a pluripotency/self-renewal module, while the blue, brown, and cyan modules can be considered differentiation modules in the signed network.
Here, the purine module can count on the histidine module for AICAR production.
The chronic generic module can be used in conjunction with any of the condition-specific modules.
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