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An analysis to determine coexpressed genes to identify possibly functionally relevant biological modules was performed with modulated modularity clustering (Stone and Ayroles 2009) on sets of genes filtered by statistical correlation with a biological factor of interest (e.g., genes with significant genotype-by-diet interactions or those highly correlated with weight).
The numerical analysis of two target modules was performed by using finite element code to assess the target cooling capacity.
A dynamic test on the inter-modular key to support the blanket modules was performed to measure the dynamic amplification factor (DAF).
The test to calculate the average delay of LibrasTV modules was performed using a real DTV signal as input during a whole day (24 h).
However, assembly of the modules was performed from gel purified pre-digested DNA fragments.
Gene set enrichment analysis for PrCa-associated modules was performed using the hypergeometric test.
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Immunogenicity of the full polyvalent hybrid protein was tested in both mice and rabbits, and comparative immunogenicity studies of the sub-component modules were performed in mice.
In contrast, the frequency scans recorded by our TEMS and M2M modules are performed in idle mode, that is, when no call is in progress.
Reconstruction of these modules is performed in an unbiased fashion, independent of strain or tissue origin.
The extraction of functional modules is performed by a novel graph clustering algorithm named DetMod (Detect Modules) that overcomes all the drawbacks mentioned above.
Functional enrichment analyses of these 525 modules were performed using terms from the GO biological process and KEGG pathway (Tables S5 and S6).
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contents was performed
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cycles was performed
packages was performed
modes was performed
elements was performed
schedules was performed
dimensions was performed
platforms was performed
modules was put
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modules was written
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