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To confirm the sensitivity and accuracy of the FACS measurements, we selected 10 promoters and used fluorescence microscopy to measure their mean and variance in fluorescence.
Based on these measurements, we selected the optimal settings for the performance comparison between the proposed and the state-of-the-art metrics.
For these measurements, we selected samples with extreme differences in growth time ranging from 5 s to 30 min and used high-resolution out-of-plane and grazing incidence in-plane X-ray diffraction [GIIXD] techniques to evaluate the strain status in both directions.
To optimize the conventional voltage clamp measurements, we selected small HEK cells (7.7±0.5 pF (mean±SEM; n = 45)), which tend to exhibit smaller currents and smaller capacitative transients [17].
In cases where a patient had multiple baseline measurements we selected the most recent one.
To further assess the reproducibility of our measurements, we selected RNAi lines targeting the abundantly expressed OBPs, Obp28a and Obp83a (Fig. 2), for further testing with contemporaneous controls.
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For the follow-up measurement, we selected the median among those participants not receiving supplementation.
To minimize nondifferential measurement error, we selected those OC pesticides that had at least 50% of study subjects with serum concentration above the LOD.
For stability verification of prolactin measurement, we randomly selected and measured prolactin concentrations in fresh serum samples of 20 men and 20 women after serum extraction.
To provide an in-depth analysis of DNA methylation states relative to the qPCR-based measurements of methylated DNA, we selected four loci (GHSR, MGA, NFIX and the uncharacterized region corresponding to chr7-8256880 (UCSC hg.18 NCBI36)) for extensive bisulphite sequencing analysis (Fig. 6).
Although the spectroscopic measurements were more sensitive, we selected the microscopic determination of fluorescence intensity as a standard quantification method.
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extent we selected
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measurements we tested
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