Fig. 3From: A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omicsA UMAP plots of stemness model from two breast cancer single cell datasets (i, ii) of the top (red) and bottom (blue) stemness cells. B Cancer basal (yellow), cancer cycling (black), and cycling t-cells (red) showing cell types overlapping most top stemness cells in both datasets (i, ii). C Stemness distribution in dataset 1 (i) and dataset 2 (ii) of breast cancer single cells with the highest stemness seen in cancer basal (yellow), cancer cycling (black) and cycling t-cells (red) compared to all other cells for both datasets (gray)Back to article page