Exact(2)
Because of these serious methodological considerations regarding the use of LBM, the other normalisation parameters should be evaluated as alternatives, although it is questionable whether children of all ages can or should be "forced" to fit a single normalisation.
When we normalised for BSA, BW, or H, we observed differences between males and females during pubertal stages 2 4, as well as differences with prepubertal and adult values, suggesting that none of these alternatives can be used as a single normalisation parameter.
Similar(58)
Five major sub-functions such as: normalisation of single point resistance log, shifting of logs for depth matching, lithology marking, calibration for estimation of coal proximate parameters and coal seam correlation are included with graphical user interfaces.
In PMLoess_ComBat, the increase in error when using two datasets is not visible, even though this method also uses different within dataset normalisation for single- and dual-channel data.
The use of a single reference gene for normalisation of RNA data may lead to unreliable or even wrong conclusions.
It is now accepted that normalisation against a single reference mRNA is likely to be inappropriate (Tricarico et al, 2002; Andersen et al, 2004), except in very well-defined circumstances (Dheda et al, 2004), but normalisation against a panel of reference genes, containing at least the three less variable, should be preferred (Vandesompele et al, 2002).
We downloaded background-corrected gene expression values from the Gene Expression Omnibus (GEO) database (accession number GSE6536), and then carried out quantile normalisation across replicates of a single individual and subsequently median normalisation across all individuals by using the R package beadarray [ 13].
Pre-processing of each data set included the standard procedures of realignment, normalisation to the MNI single subject template [76] and spatial smoothing with an 8 mm FWHM Gaussian kernel.
Data pre-processing included the standard procedures of realignment, normalisation to the MNI single subject template and spatial smoothing (FWHM = 8 mm).
Hence, in line with other classifiers presented in the literature [ 9, 26] our MDAhet classifier is also a single-sample predictor because, modulo the normalisation step, the classification is performed solely with information taken from the training set (Table 1).
Often, iris segmentation and normalisation are unified in a single module, however, for fusion purposes it is desirable to separate these two tasks.
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