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To standardize expression values of each endpoint, z-score was calculated by subtracting the experimental cohort's mean from the control's mean and dividing by the standard deviation of the controls [16], [94].
To standardize expression levels GAPDH using primers GAPDH up (5'-CCA CCC CAG CAA GGA GAC T) and GAPDH down (5'-GAA ATT GTG AGG GAG ATG CT) and 18S rRNA using primers 18S fw (5'-GTA ACC CGT TGA ACC CCA TT) and 18S rc (5'-CCA TCC AAT CGG TAG TAG CG) were used.
We also showed that it is essential to standardize expression data at the probe level when testing for correlation of expression profiles, due to a sizeable probe effect in microarray data that can inflate the correlation among replicates and unrelated samples.
MeanHC and SDHC of each gene in the HC-group were used to standardize expression levels.
To standardize expression levels across extensive range of both datasets, the raw intensity was Z-score transformed [ 33].
The first choice is the normalization method, e.g., to standardize expression profiles to be of mean zero and variance one.
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Matrix in the middle indicates standardized expression level for the samples (columns) and DEG (rows).
After that, VE is defined as the average value of all the differences between the standardized expression values of the bicluster and the standardized virtual gene.
This was done after standardizing expression values in the validation dataset, i.e., expression values in the derivation and validation datasets were placed on the same value scales (Methods).
The algorithm was based on the distance between two genes defined as 1 - r, where r is the Pearson correlation coefficient between the standardized expression values of the two genes across the samples used.
These data are now directly comparable to previously published virtually-multiplexed transcript abundance data from this laboratory [15], or to Virtually-multiplexed transcript abundance data collected by others who use the NCI-funded (R24 CA 95806) Standardized Expression Measurement (SEM Centerr.
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