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Studies measuring small numbers of miRNAs have shown their presence in circulating blood; specifically in platelets, plasma, and mononuclear cells.
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Change was calculated as post-test value minus pre-test value and, for all variables but the composite pitch tracking measure, smaller numbers indicated more typical function (i.e., shorter latencies, less frequency error), so negative values indicated an enhancement in encoding.
In view of the experimental difficulty of measuring reliably small numbers of mRNA, our methodology had to rely on a combination of model simulation and experimental validation, with the model providing the bridge between the presumed existence of early responder cells and the later single cell measurements.
A statement should be included in all biomarker papers describing how overfitting (training models on large numbers of variables measured on small numbers of subjects) and other forms of bias were avoided.
The results indicated that the approach of this study can ensure the measurement precision at high curvature potion by measuring a small number of points.
However, dietary studies have been typically limited to measuring a small number of blood markers of inflammation, often in the fasting state, and these may not necessarily reflect inflammation in tissue compartments or what happens in response to inflammatory challenges.
Clinical trials today are designed to measure a small number of markers in many participants, but high-throughput methods allow us to measure large numbers of markers in smaller cohorts.
One problem with region of interest studies is that they usually only measure a small number of selected brain regions because the measurement process is labour-intensive.
As the nCounter Analysis System experiment measured a small number of genes, it was not possible to normalize across samples by fitting expression measures to a common distribution [ 26].
However, the latter study measured a small number of participants (n = 41) and had a combined EF domain of working memory with attention.
The nCounter® platform is of great utility to the malaria community, as it is amenable to many different types of samples, and imputation allows researchers to measure a small number of genes and gain an understanding of global expression patterns.
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