Sentence examples for errors in the quantification of from inspiring English sources

Exact(4)

This could result by itself in errors in the quantification of the (lesions in the) LV.

Our results showed that for the range of tumours observed in this mouse cohort, the calibration factor to convert from counts to activity changed by a factor of 2.5, which can potentially lead to significant errors in the quantification of tumour activity, uptake and absorbed dose.

This signal loss, if misinterpreted as attenuation due to diffusion, produces errors in the quantification of the diffusion tensor and parameters extracted from it.

Failure to account for PCR efficiency results in errors in the quantification of miRNA abundance (this error grows depending on the ΔCq such that larger fold changes between samples will be more exaggerated).

Similar(56)

It is shown that damage to the specimen is induced despite application of low-energy Ga+-ions during the final preparation stage which leads to an error in the quantification of sp2-content.

Similarly, RNA-Seq is a sampling method and stochastic events become a source of error in the quantification of rare transcripts [ 47].

The conventional use of a single gene for normalization can introduce a significant error in the quantification of transcript levels [ 6].

Due to measurement error in the quantification of lipids, use of Equation 2 when Figure 1A holds can result in biased estimates.

Such a pattern in the FFT of Figure 4, panel (a), and particularly the fact that a part of it may get lost in selecting the diffracted spot used for the strain calculation, may produce a systematic error in the quantification of the strain and consequently of the lattice parameter.

The use of reference genes is commonly accepted as the most reliable approach to normalize RT-qPCR data and reduce possible errors generated in the quantification of gene expression.

Among the several proposed methods [ 23, 24], internal control genes (reference genes), formerly called housekeeping genes, are most commonly used to normalize qPCR and to reduce possible errors generated in the quantification of gene expression [ 25].

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