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Background: Interpretation of gene expression microarrays requires a mapping from probe set to gene.
Parameters were set to default except for min = 5 and permutation type set to "gene set".
Aligning the synthetic read set to gene models identifies a total of 28 (0.0001%) aligned reads.
The number of permutations was set to 1,000, and the permutation type was set to "gene set," because fewer than seven samples existed per phenotype [ 28].
Probe set to gene mappings were retrieved from NetAffx (April 2005) and all base pair positions are based on the May 2004 human genome build.
The 'C2' curated gene set were used for running GSEA and 1000 permutations were used to calculate P-value and permutation type was set to gene set.
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Raw intensity data was processed using The Robust Multi-array Average (RMA) procedure in MATLAB Bioinformatics Toolbox, which first performs background adjustment and quantile normalization on the probe level, and then summarizes the intensity levels from each probe set to gene-level expression values in logarithmic scale [ 78].
We used Affymetrix's mapping of the U133A probe sets to gene symbols.
With this competitive test, the differences between the association of the mTOR gene-set to genes outside this gene-set is tested, accounting for the polygenic nature of a complex trait like ICV.
The positions of gene TSS are the same as those used in the mapping microarray probe sets to genes.
NetAffx version na32 feature annotation files, available from Affymetrix (http://www.Affymetrix.com), were used to map probe sets to genes.
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