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Data passed quality controls implemented in Expression Console software, build 1.2.0.20, and QC Tool (Affymetrix, Santa Clara, CA, USA).
Quantitative expression levels of present transcripts were estimated using the PLIER algorithm (Probe Logarithmic Intensity Error) for normalization that was implemented in Expression Console (Affymetrix).
Clustering of genes was carried out using CLICK, a clustering algorithm implemented in EXpression Analyzer and DisplayER (EXPANDER) 4.0.2 [ 95], which does not require prior assumptions on the structure or the number of clusters to be found.
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Expression levels were calculated using the rma method [ 19] (implemented in Affymetirx Expression Console tool).
The steepest direction is implemented in the expression of the total energy functional E of the target system on the basis of the variational principle, without the constraints of orthogonality and normalization on the one-electron wave functions.
Present/absent calls were generated from the MAS 5.0 statistical algorithm as implemented in Affymetrix Expression Console.
For RMA analysis, arrays were normalized together and in groups based on target labeling method using RMA implemented in Affymetrix Expression Console.
The data were normalized, background corrected, and summarised using the Robust Multichip Average (RMA) algorithm implemented in the Expression Console version 1.1.2 software (Affymetrix).
The data were normalised, background corrected and summarised using the Robust Multichip Average algorithm implemented in the Expression Console version 1.1.2 software (Affymetrix).
Signal estimates and normalisation for gene-level analysis were generated using the Probe Logarithmic Intensity Error Estimation (PLIER) algorithm implemented in the Expression Console software (Affymetrix).
PCA has been implemented in gene expression analysis and GWAS to alleviate the problems in analyzing small sample and high dimensional high-throughput profiling data which is often highly correlated, for example, due to LD.
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