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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: Graefes Arch Clin Exp Ophthalmol. 2018 Mar 5;256(5):935–949. doi: 10.1007/s00417-018-3905-0

Fig. 2.

Fig. 2

Principal Component Analysis (PCA) plot of the filtered, normalized and log2-transformed count matrix, assessing the overall effect of experimental covariates and batch effects - generated with R v. 3.2.2, ggplot2_2.2.1 andggfortify_0.4.1. The first two components (x-and y-axis) were used and next order components are available in the Data Supplement. We noticed a higher variation in PCI3 and PCI4 and ShamI2, most likely due to natural variation in biological samples.