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To test the epistatic effects within the eQTL modules, we employed a regression based model selection approach to find the best eQTL model for each module gene.
In order to identify distinct modules we employed a 3-step strategy.
Although the goal of this study is to detect age-related modules, we employed conventional statistical tests for identifying age-dependent mRNAs/miRNAs so as to explore later their place into modules.
Beyond the scope of this study, that is to find age-related modules, we employed classical statistical tests for identifying age-dependent mRNAs/miRNAs so as to explore later their place into modules.
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Methods presented in [21] also create strip-like surfaces, but allow deviations from exact rectangular shapes that are not permissible in the photovoltaic modules we employ.
We briefly comment on the choice of parameters in the modules which we employ.
In order to reduce the cost associated with the multiple RF modules, we can employ AST, where a specific number of P antennas is selected at the transmitter or receiver [1, 13], (P≤M T for selection at the transmitter and P≤M R for selection at the receiver).
In order to both increase and adequately evaluate the biological quality of our modules we subsequently employ a refinement procedure.
Here, we employed this module-based approach for the estimation of temporal transcription regulation structure of A. fumigatus in heat shock with microarray data consisting of very short length of time point, i.e., 6.
For atlas-based segmentation, we employed the segmentation module distributed in SPM5 software [48].
Using the APIs, we employed the MFSearcher module of PowerGet to search metabolites in KomicMarket.
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