Biomarkers for classification and class prediction of stress in a murine model of chronic subordination stress - Fig 2 Dominik Langgartner Andrea M. Füchsl Lisa M. Kaiser Tatjana Meier Sandra Foertsch Christian Buske Stefan O. Reber Medhanie A. Mulaw 10.1371/journal.pone.0202471.g002 https://plos.figshare.com/articles/figure/Biomarkers_for_classification_and_class_prediction_of_stress_in_a_murine_model_of_chronic_subordination_stress_-_Fig_2/7050236 <p>(a) Scatter plot based on top scoring pairs (tsp) analysis of the training dataset aimed at classifying stressed (red) and non-stressed (blue) samples. The Left Adrenal Weight [mg] (LAWmg; x-axis) and Relative Thymus Weight [mg/g] (RTWmg/g; y-axis) were identified as the most relevant pair. The fitted line represents the linear function that discriminates the two groups. (b) The model was tested using independent validation set of 37 samples. The obtained results are shown here as a scatter plot. Correctly predicted samples (34/37 or 91.89%) are colored by matching to the colors of the test set (red = No Stress; blue = Stress). Misclassified samples (n = 3) are shown in grey.</p> 2018-09-05 17:33:19 body weight gain tsp SVM non-stressed mice subordination stress Selye PCA CSC SHC triad support vector machines analysis GC