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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Regen Eng Transl Med. 2017 May 8;3(2):82–93. doi: 10.1007/s40883-017-0030-2

Figure 5. Unsupervised principal component analysis of flow cytometry quantification.

Figure 5

(A) Loadings (weight coefficients) plot of the 11 input variables in the reduced principal component space. Input variables are: muscle mass, MΦ (% of cells), MO (% of cells), DC (% of cells), T lymphocyte (% of cells), neutrophil (% of cells), CD206+ (% of MΦ), CCR7+ (% of MΦ), Ly6Clo (% of MO), TH (CD4+CD3+ % of CD3+), and Treg (CD25+CD4+CD3+ % of CD4+CD3+). (B) Injury conditions are separated by the model in the scores plot (TT, n=5; TT+DN, n=4). Quality-of-fit metrics are provided in Methods.