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