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The analysis steps described above provide, each 5 ms, the features f0(t i ), V i (f), μ i (f), and σ i (f).
Following the analysis steps mentioned above, 5 field examples have been analyzed and the comprehensive calculated results of are shown in Table 1.
In particular, a smart mathematical model, optimizing the integration of all the analysis steps of the fluorescence data from on chip multiple real time PCR, is described.
Data analysis results need to be interpreted by decision makers, and this may require users to be able to analyze the assumptions at each stage of data processing and possibly re-trace the analysis steps.
The analysis steps were: (i) remove tag sequences; (ii) execute a BLASTN search by Hi-per BLAST (Fujitsu); (iii) identify the scientific name for each read based on the NCBI taxonomy database; (iv) extract viral reads and perform mapping to reference data by SSEARCH.
For cluster crossvalidation, we assigned randomly the calculated silhouettes to all probes, and then repeated all the analysis steps up to calculating average cluster silhouette for each cluster size (100 times): average cluster silhouette obtained by reshuffling was compared to the real average cluster silhouette values, producing the final list of significant SNPs.
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We proceed to the analysis step every 5 years.
Finally, in the analysis step, the collected data should be analyzed and interpreted.
After drying, powder samples were transferred into sealed bottles, to be maintained for the analysis step.
To reduce conservatism, the technique of quadratic separators is used in the analysis step.
This article describes an automatic model transformation for the analysis step.
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CEO of Professional Science Editing for Scientists @ prosciediting.com