Principal component analysis of SCI pathway genes

Principal component analysis (PCA) is a dimension reduction technique, which can transform multiple variables into a few principal components that can reflect most of the information of the original variable [28]. Using R3.6.1 psych package version 1.7.8, PCA analysis was performed on the genes constituting the ceRNA regulatory network directly related to SCI to observe the differentiation of genes involved in SCI pathway in different types of samples and the principal component relationship of expression level.

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