Sentence examples for platforms we calculated from inspiring English sources

In an attempt to evaluate the equivalency of the two analytical platforms, we calculated correlations between NMR and GC-MS concentrations for individual metabolites (supplementary information, Figure S2).

To further establish the applicability of ANRO on different commercial microarray platforms, we calculated statistically significant regulated gene expression determined from a parallel series of experiments using both the Affymetrix exon array and Illumina BeadArrays.

To assess the correlation between sample pairs and between gene pairs from the two platforms, we calculated Pearson's correlation coefficients.

In order to compare data from microarray platforms, we calculated both Pearson and Spearman correlation coefficients for absolute expression levels and relative expression changes.

To further quantify the correspondence of our results between the two platforms, we calculated the SI value of each exon, here defined as the log2 ratio of the normalized index (NI) between the brain and reference, where NI is expressed as exon probe set intensity divided by the gene level intensity [ 23, 24].

In terms of the gene voting compatibility between different microarray platforms, we calculate that the percentages of probesets which vote samples into their HC categories are quite similar.

For each gene (referred to as a 'transcript cluster' on the exon array platform), we calculated the Pearson correlation coefficient of the signal intensities of all possible pairs of probes across the 11 tissues (a total of 33 samples).

Single vector per tissue type: for each tissue type and microarray platform, we calculated a single representative expression vector based on all samples annotated with this tissue type.

To assess the level of tightness in the intensity distribution for each platform, we calculated the pair-wise ratio range within which 95% of all ratios fall for each platform (Table 2).

For each platform, we calculated the number of adjacent targets required to reliably detect a single copy-number variation (gain or loss), given the required minimum rate of false-positives and false-negatives.

Using separate PCA models for the metabolites in the summarized data set and those from the individual platforms respectively, we calculated how well the different subsets of metabolites approximate the total chemical diversity (variance in the physicochemical properties) of LycoCyc (see Materials and methods).