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Since the module detection is unbiased and does not make use of GO information, each of the modules was initially labeled with a unique color as an identifier.
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Crude subnetwork modules are initially encoded from the dependency rules.
Several behavioral modules are initially evolved using specialized neurocontrollers based on different ANN paradigms.
The modules were initially designed and developed to serve as building blocks of a desktop application (AmbitXT), as per the requirements of a CEFIC LRI [17] contract.
The memory modules were initially six 2 GB modules, but were later upgraded to 4 GB each, for a total of 24 GB.
The ecosystem functions in vegetated modules were initially compared among treatments using general linear models, with block as a random factor.
Since the module definition does not make use of GO information, the modules are initially named by a color.
CAZyme families and CAZyme modules were initially identified using dbCAN, BLAST, keyword and domain searches (Additional files 3 and 4).
In the current study, CAZyme families and CAZyme modules were initially identified using dbCAN, BLAST, keyword and domain searches.
A large number of overlapping modules were initially induced to capture the rich dynamics of the system.
Both modules were initially test-piloted in one laboratory section (∼22 students), and compared with a control laboratory section (∼22 students) taught by the same TA.
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