Sentence examples for correction of variation from inspiring English sources

Exact(1)

A linear model was fitted to the data using "lmFit", and "eBayes" provided a correction of variation by borrowing information across genes.

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Hunt (2000) explained the correction factors of the gravity measurement were classified into the correction of variations with position, variations with time and changes in position of mass in the earth.

Messenger RNA (mRNA) from the universally expressed housekeeping gene GAPDH proved to be useful as an amplification control and allowed for correction of variations in different numbers of cells in the starting material, in the efficiencies of RNA extraction and reverse transcription.

It also revealed the deep impact of the correction for variation of affinity between probes using covariates, not implemented in ℳ8.

In addition to background correction, normalization of variation within, as well between arrays, needs to be considered in two-colour microarray experiments.

In the case of a severe imbalance, our simulations confirmed that the minimum variance weights correction of the variation inflaction factor (VIF) used in the sample size calculations has the best properties.

Protein Maximum Likelihood (ML) bootstrap support values were calculated using PHYML [ 58] and RAxML [ 59] with the appropriate models of sequence evolution and correction for variation of rates among sites.

The present algorithm allows for the correction of regional variation in the ATB based on the estimated ATB and, thus, may reduce the systematic error in the estimated Va value, although the estimated Va could still be affected by dispersion in input function.

As shown in Figure 2C, this results in the correction of positional variation within both glucose and trehalose crosspeaks and rejection of the inappropriate alignment of the two sugars.

Our results confirm that genotyping-by-sequencing is an effective tool to obtain genome-wide information for crops with complex genomes, that these data are efficient for predicting traits, and that correction of spatial variation is a crucial ingredient to increase prediction accuracy in genomic selection models.

First, the cortical surface undergoes reconstruction involving the correction of intensity variations that exist between MRI data sets due to variations in the magnetic field during the scanning procedure [ 36].

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