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In other words, most random sampling effects among sequencing reads from a pool of DNA samples would increase the FSV and thereby reduce the correlation with SNP variation between lines if that variation is small.
One of the drawbacks of the OMP is that, as it requires a large number of measurement data to estimate the signal, any increase in the degree of sparse or the number of samples would increase the time it takes to obtain the results.
This is a strong limitation, because identifying biologically similar samples would increase the power and the reproducibility of a study, especially since in most studies the number of samples can be a limiting factor, which could be compensated using already published experiments.
Larger collections of genetically homogenous samples would increase the power to detect low-frequency events.
Increased heterogeneity among samples would increase the standard error and thereby decrease power to reject the null hypothesis.
Additional samples would increase the statistical power, and validation of the presented biomarker panel is therefore warranted.
Similar(50)
Republicans fear -- and Democrats hope -- that adjusting the census count by sampling would increase the count of people living in traditionally Democratic areas.
However, there would exist particle degradation when do particle filtering practically, which means that as the increase of the number of samples, the weight of many particles may get smaller, and the variance of the sample would increase over time.
Although later sampling would increase the yield of cases, opportunities to reliably record and then track key early influences on developmental trajectories would be lost.
We therefore hypothesised that sampling would increase with age and that this would contribute to age-related reductions in motion coherence thresholds.
A priori expectations were that double FIT sampling would increase sensitivity, as this has been observed previously for g-FOBT and FIT [ 18, 19, 24].
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