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Any attempt to generalize the performance of a subjective diagnostic method should take into account the sample variation in both cases and readers.
We instead impose a bound on a weighted sum of squared control coefficients, which is interpretable as a bound on the sample variation in the dependent variable induced by the controls.
Several studies have tried to minimize platform and sample variation in order to perform cross-species comparisons (e.g. [ 8]).
The obtained data from GAPDH were used to standardise the sample variation in the amount of input cDNA.
The data obtained from GAPDH were used to normalize the sample variation in the amount of input cDNA.
Consequently, the full extent of sample variation in genomic studies is often under-appreciated, complicating downstream analytical tasks such as gene co-expression network analysis.
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In addition, sample variations in the resource dataset that defines explanatory variables are ignored.
GAPDH was used as the internal control to normalize for samples to sample variations in total RNA amounts.
Aldolase A was used as an internal control to normalize for sample to sample variations in total RNA amounts and for reaction efficiency.
Human HPRT, CYC, GAPD and mouse GAPD, ACTB, GUSB expression values were used to correct for sample variations in RT-PCR efficiency and errors in quantitation.
False-negative results may occur due to dilute sample, variations in GAG excretion over time, and overlap in ranges between affected and unaffected patients.
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