Fig. 2
Preferable differentiation and degeneracy in the transcriptional state. A Boxplots showing the number of clones and clusters in each dataset. B Boxplots showing the entropy for the distribution of clusters in each clone (left) and the distribution of clones in each cluster (right). C One example of cluster heterogeneity in each clone from sample “LT_S34” in lung. The color of the outline of the circle indicates different clones. The diameter of the circle indicates the cell count of each clone. The colors of the pie slices indicate different clusters. The clonal heterogeneity in each cluster from the same sample is shown in the right panel. The color of the outline of the circle indicates different clusters. The diameter of the circle indicates the cell count of each cluster. The color of the pie indicates different clones. D One examples of an evolution tree from sample “LT_S71” in lung cancer. The color of outline of the circle indicates clone. The diameter indicates the cell count of each clone. The color of the pie slice indicates cluster. E Boxplots showing diversity for cancer clones between different contexts in each dataset. “*” indicates p value < 0.05 during the Wilcoxon-rank sum test (two-sided). F Boxplots showing diversity of cancer transcriptional clusters between the different contexts in each dataset. E, F “PD” indicates progressive disease samples, and “not PD” indicates samples without progressive disease (drug responders)