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Principal component analysis (PCA) of DEGs

WZ Wenjuan Zhao
DW Dong Wang
JZ Jun Zhao
WZ Wenqing Zhao
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PCA, a multivariate regression analysis (24), was used to distinguish samples with multiple measurements (25). A PCA of DEGs was conducted in the present study using prcomp algorithm in R language (26,27). A 3D graph was then obtained, in which DEGs were considered as variables and the difference between control and disease samples at the three time points were observed.

Copyright and License information:  ©2017-07-19 Zhao et al.
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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