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Fig. 3 | BMC Genomics

Fig. 3

From: A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics

Fig. 3

A 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)

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