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In the end, sensitivity analysis is employed to examine variation of compressor pressure ratio in terms of total product cost of the system.
The low end sensitivity of the assay was between 10 and 100 bacterial cells per sample.
As the 4.2 % difference was derived from self-reported HbA1c levels stated in interval categories (with censoring at each end), sensitivity analyses were also performed using various different cut-off criteria and applying uncertainty in the HbA1c difference between the two health states.
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Low-end sensitivity was 0.17 pg/mL and 0.5 ng/mL for the free testosterone and osteocalcin, respectively.
This indicates that low-end sensitivity is the major reason for data discrepancy.
For microarrays to improve the low-end sensitivity, the optimization of probe design, as well as the advances of scanning techniques, may be key issues.
With VQSR we set desired end-to-end sensitivity and determine the thresholds for specific quality parameters directly from the data itself.
Our data shows that when the Affymetrix detection call is related to MPSS tpm value for genes called "absent" by GCOS greater than 90% of the genes also have a tpm of zero, which indicates that the technologies have a similar level of low-end sensitivity.
The observed NRS is lower than the sensitivity set in VQSR (99.5%), even though the same datasets (1000G Omni 2.5 and Hapmap 3.3 genotypes) are used in that training process, showing the impact of insufficient coverage and various error processes, e.g. low complexity and structural variants, on end-to-end sensitivity.
In the end, a sensitivity analysis on absorber resonant frequencies is conducted and relatively large sensitivity is found at the two stopband regions.
To this end, the sensitivity analysis for the main parameters of the models is performed.
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