Fig. (1) PCA for intact skin and wound data. The figure display the three main principal components to which the data was reduced to. The axes represent the values for principal components 1, 2 and 3. Points lying in the negative portion of an axis indicate a negative correlation between the principal component and the sample. The two groups are denoted by different colors to demonstrate the separation between classes (intact skin vs. wounds). The ability to linearly separate the classes within the PCA figures indicates intact skin samples are different from wound samples.