Sentence examples for the samples were normalized using from inspiring English sources

The samples were normalized using Lowess and probes with missing values in 50% or more samples were removed from the analysis in Avadis V4.3 (Strand Genomics, Bangalore, India).

The samples were normalized using the invariant set method (dChip 2.0 software) [ 21].

For data analysis the samples were normalized using the cubic spline algorithm, assuming that the distribution of transcripts is similar [ 33].

Variations in cDNAs of the samples were normalized using actin as internal standard [89].

The slope values determined from the standard curve allows for correction for variations in the primers efficiency and reaction kinetics, whilst the relative abundance ratio, calculated after the samples are normalized using the reference genes, allows for determination of gene/marker copy number.

To account for the different number of viable cells in each well of the microplate, samples were normalized using the relative luminescence values for each corresponding well of the identical microplate.

Individual CEL files for each of the patient samples were normalized using the standard Affymetrix Gene 1.0 ST CDF and RMA [ 14].

In order to train the classifiers and perform the KS-tests, all samples were normalized using the MinMax normalization [21].

Briefly, the signals from 33P-UTP labeled run-on samples were normalized using the signals from the same filters hybridized with 33P-dCTP random primer labeled genomic DNA samples.

mRNA was quantified using the standard curve method, samples were normalized using 18 s or Gapdh mRNA concentration and expressed as fold change over control PBS treated kidney tissue.

All samples were normalized using the TMM protocol implemented using the edgeR package in R [ 69], which takes into account differences in overall RNA populations across biological samples.