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. Author manuscript; available in PMC: 2019 Sep 4.
Published in final edited form as: Cell Rep. 2019 Aug 6;28(6):1623–1634.e4. doi: 10.1016/j.celrep.2019.07.017

Table 1.

PC Score and SVM Generation

Variable C57 Male C57 Female CD1 Male CD1 Female C57+CD1 Female C57+CD1 Male Both Sexes + Strain
eigenvalues for first PC scores
Z paw velocity 0.57742 0.58445 0.57431 0.59499 0.59098 0.56893 0.58267
Z paw height 0.60582 0.56067 0.59105 0.57074 0.56470 0.60710 0.58039
Z pain score 0.54731 0.58656 0.56641 0.56589 0.57605 0.55473 0.56888
fitting datasets for generating and training SVM
Fitting datasets C57(M) - CS,HP C57(F) - CS,HP CD1(M) - CS,HP CD1(F) - CS,HP na na CD1(M), CD1(F), C57(M), C57(F) - CS, HP
Figure Figures 4I4L Figures 4M4P Figures 4A4D and 5G Figures 4E4H na na Figures 6I and 6J

Eigenvalues for calculating the PC1 scores are shown for each variable in each group of animals. These values were determined using SAS software using Data S2. The data used to generate and train the SVM to make predictions about pain-like probabilities for each group are also shown.