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This chapter illustrates that by using simple analysis techniques, such as the average Q-factor, one may employ asynchronous histograms to derive information that would otherwise require a complete optical receiver as well as a BER counter to estimate.
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Prior to performing a multiple regression analysis, candidate predictor variables were identified by using simple correlation analysis for each predictor variable with the log GH peak.
The qualitative interviews were analyzed by using simple content analysis.
Quantification of the PLA data involves counting the number of red dots per cell, which can be performed by using simple image analysis algorithms such as the BlobFinder [77].
The best two or three miRNA biomarkers identified by our method cannot produce an accuracy of 100% by using simple linear discriminant analysis of support vector machine.
When interactions were significant, these were further explored either using post-hoc pairwise comparisons with Bonferroni corrections in the case of interactions between different between subject factors or by using simple main effects analysis when a within subject factor was involved in the interaction.
The methodology can efficiently design for very small transponder-related blocking probability (e.g., <10−4) by using simple, straightforward simulation and analysis techniques.
The equations of motion of the joint are derived on the basis of a realistic linear mathematical model, by using simple spring-mass system analysis.
Two different finite element models, representing variations of cross-section, are developed by using simple strain functions in the analysis.
Univariate analysis was performed by using simple logistic regression for association between independent and outcome variables.
By using simple python scripts frequent users can automate analysis workflows for every Oasis module, including the compression of FASTQ files prior to data upload.
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