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Angiogenic genes were analyzed in the cBio Cancer Genomics Portal (accessed December 2011) using an expression z-score threshold of 1.5 and a selection of patient/case set of either the classical, mesenchymal, neural or proneural subtypes of GBM.
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To compare a single patient's QST data profile with the group mean of age- and gender-matched healthy controls (mean data from left and right TMJ pooled), the data from the individual patients were Z-transformed for each single parameter by using the following expression: Z-score = (Valuesingle patient – Meancontrols) / SDcontrols [40].
Each value was standardized using a modified z-score.
The resulting p-values were combined across datasets using a weighted z-score approach [16].
We use an absolute value Z-score cutoff of 2 throughout this work.
We used a global cognitive z-score as a measure of cognition.
Using a z-score-based scoring scheme, RA calculates the average statistical change in the expression levels of genes that are neighbors to a target metabolite in the metabolic network.
To make the gene expression level comparable across genes, expression values for each gene were standardized using a Z-score transformation.
The seven microarray expression data sets were merged over the common genes using a z-score normalisation procedure that we have validated previously [ 15, 45].
The statistical significance of this comparison was quantified using a Z-score.
Enriched regions were defined using a Z-score based sliding window approach.
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