Sentence examples for stabilization transformation from inspiring English sources

Data was transformed by variance stabilization transformation (VST) [ 13] then normalized by robust spline normalization (RSN) [ 14].

Array data were processed using the Illumina GenomeStudio software, transformed by variance stabilization transformation (VST) [ 10] and normalized by robust spline normalization [ 11] using Lumi [ 12].

Array data were processed as described previously [ 23] using the Illumina GenomeStudio software and then transformed by variance stabilization transformation (VST) and normalized by robust spline normalization using Lumi [ 24].

The data were transformed using the variance stabilization transformation (VST) [37] and normalized using the robust spline normalization (RSN) [36].

The data were then transformed using the variance stabilization transformation algorithm (VST) and normalized using the quantile normalization method.

Data were transformed using a variance stabilization transformation [ 62], which takes into account the large number of technical replicates on Illumina arrays, and normalized using a robust spline normalization.

Potential improvements include alternative methods for variance stabilization transformations (in contrast to the log transformation used in this case) and other normalization methods, for example, GC content correction methods and scaling methods like Trimmed mean of M values.

Reducing the difference in variance across genotypes using a marker-specific variance-stabilization transformation would dramatically reduce such power.

Using the lumi package, we implemented various types of background correction (e.g. 'none'bgAdjust'st'forcePositiveivarianceriance stabilization ('vst' (variance-stabilizing transformation), 'log2', 'cubicRoot') and normalization.

However, different data sets may require different variance-stabilization transformations.

Recently, Sun et al. raised an interesting suggestion concerning the use of variance-stabilization transformations in genome-wide association studies (GWAS) for phenotypic variability.