Research Paper Volume 15, Issue 20 pp 11162—11183
Machine learning developed a PI3K/Akt pathway-related signature for predicting prognosis and drug sensitivity in ovarian cancer
Figure 6. High-resolution revealing immune landscape of ovarian cancer. (A) t-SNE plot showing the identified cell types of all ovarian cancer and normal sample. (B) Fraction of cell types originating from each sample. (C, D) PI3K/Akt pathway related signature score in normal sample and ovarian cancer tissues. (E) Further sub-cell types of CAF cells. (F–H) Developmental trajectory of CAF cells inferred by monocle, colored by pseudotime, cell subtype and state. (I) Heatmap of the expression of PI3K/Akt pathway related signature genes in the developmental trajectory of CAF cells state. ***p<0.001.