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Fig. 2 | BMC Gastroenterology

Fig. 2

From: A novel ceRNA-immunoregulatory axis based on immune cell infiltration in ulcerative colitis-associated colorectal carcinoma by integrated weighted gene co-expression network analysis

Fig. 2

Chip data correction and evaluation. Boxplots show gene expression levels before (A) and after (B) correction. Density plots show estimates of data density before (C) and after (D) normalization. PCA is a dimension reduction and visualization technique used to project the multivariate data vector of each array into a two-dimensional plot, and thus, the spatial arrangement at the midpoint of the plot reflects similarity between the overall data. PCA before processing (E) and shows after processing (F). Heatmaps before correction (G) and after correction (H) show the array aggregation caused by expected biological or unexpected experimental factors (batch effects). Outliers are denoted by *. PCA principal component analysis

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BMC Gastroenterology

ISSN: 1471-230X

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