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Density of the module and Gene Ontology based semantic similarity measures are taken into account for building the objectives.
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At any rate, it is interesting to observe the high density of the modules inferred by MCL.
We believe the higher density of the modules when compared with either size-equivalent random networks or with the entire network, the GO-term enrichments found in each module, their functional specialization (few shared GO terms between modules), and their functional homogeneity (similar or related functions within a module) strengthen the biological relevance of our IRES predictions.
The density of this module is 0.019.
An annular region of fluid surrounding the fiber was considered in order to account for the packing density Φ of the module.
The area power density of the thermoelectric module is about 0.30 kW/m2 and the efficiency is about 1.28%.
Our approach finds recurrent coexpression link modules regardless of the density of these modules.
In Figure 1, we compare the density of the DetMod modules with the artificial and MCL modules (called otherwise control methods).
As it joins preselected cliques, it does not control directly the density of the produced modules and might also miss some dense modules.
The relatively high density of the output modules (although this is not explicitly part of its underlying module definition) might come as no surprise.
The specifications under standard test conditions (STC) (1000 W/m2 irradiation, 25 °C ambient temperature and AM1.5 air density) of the PV modules samples of each technology are given in Table 1.
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