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.

Note: The content above has been extracted from a research article, so it may not display correctly.



Q&A
Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.



We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.