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Thermodynamic insights are employed in the development of lean network representations that lead to significantly improved overall search speed as compared to previously proposed superstructure representations.
In addition, we found 11 genes (CSF1R, EVI2B, SAMHD1, PCD1A, CD68, FAM105A, P2Y12R, NCEH1, SPI1, FRMPD4 and PigE-108A11.6) which were hub-genes in the lean network but weakly interconnected in the obese sub-network.
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So he tried using SqueezeNet, a leaner network that would require far less memory to run.
When the k_diff was positive, it meant that the genes were highly connected in the obese sub-network than in the lean sub-network, while a negative k_diff meant that the genes were highly connected in the lean sub-network than in the obese sub-network.
We hypothesize that adult neurogenesis optimizes the lean neuronal network of the DG to cope with changing, behaviorally relevant stimuli in the environment [10].
Therefore, we created and compared the lean sub-network and obese sub-network using the expression data of the 12 low OI animals and the 12 high OI animals.
We found eight genes (IFI35, SNX19, MARC2, MORN2, PLA2G16, CCL5, CACNA2D1, and REV1) that were hub genes in the obese sub-network, but lowly interconnected in the lean sub-network.
The differential connectivity (k_diff) was calculated by subtracting the connectivity of the genes in the lean sub-network from the connectivity in the obese sub-network.
Both sub-networks revealed clearly different modules; however, the obese modules were not preserved in the lean sub-network, and vice versa.
Both were among the best reviewed films of 2010, though critics' groups leaned toward "Network".
Lean distribution networks have been increasingly exposed to the risk of unpredicted disruptions causing significant economic forfeitures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com