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Principal Component Analysis (PCA) was performed on all samples and all probes to reduce the dimensionality of the data while preserving the variation in the data set. The PCA indicates that although there is some variability within groups, the samples separate by treatment (air or PD) and sample type (PD-exposed fibrotic; PD-exposed nonfibrotic; air-exposed nonfibrotic).
