Sentence examples for between samples we calculated from inspiring English sources
To compare CNV between samples, we calculated the significance of a difference using a t-test and p-value based on the normalized counts and normalized uncertainties.
As a first look into the extent of population structure between samples, we calculated genome-wide F ST using the SNP data.
To illustrate the degree of variation in expression patterns between samples, we calculated the relative distances (summed square differences of Tm-categories) between single tissues and averages of tissues.
To assess the similarity between samples we calculated the Spearman rank correlation coefficient between pairs of hit tables, considering all mRNAs, CUTs, SUTs, tRNAs, snRNAs, snoRNAs and rRNAs detected in at least two data sets.
To allow for quantitative comparisons between samples, we calculated the gene expression index (GEI) as the mean coverage depth of the gene normalized by the total number of reads mapped to non-rRNA regions of the genome.
To normalize the data between the different biological samples, we calculated the ratio between the Ct value obtained for each GS primer pair and the housekeeping gene Elongation factor 1-α [ 42].
In order to provide a meaningful comparison between different individuals or samples, we calculated the relative amounts of cytokines, chemokines and chemokine receptor PCR products relative to the amount of β-actin PCR products (for the standardization of total cellular mRNA) in each sample.
In order to provide a meaningful comparison between different individuals or samples, we calculated the relative amounts of the PCR products of these molecules to the amounts of β-actin PCR products (for the standardization of total cellular mRNA) in each sample, as described previously [ 17, 26].
To compare the quality of match between the survivor and the peer to that between the survivor and the listed sample, we calculated the absolute difference between each pair on each variable.
Once all ΣXcorr values were normalized between samples we then calculated the differential expression for each subject using post-stress ΣXcorr – control ΣXcorr = ΔΣXcorr.
In order to analyze the distribution of these classes between sample types, we calculated the contribution of each class for every microRNA in the 9 samples that were deep-sequenced.
