Research Paper Volume 15, Issue 11 pp 5007—5031
Machine learning and single cell RNA sequencing analysis identifies regeneration-related hepatocytes and highlights a Birc5-related model for identifying cell proliferative ability
Figure 4. Pseudotime analysis of hepatocytes. (A) Regeneration signature score of pseudo-bulk expression of liver organ under PHx. (B) Regeneration signature score of pseudo-bulk expression of liver organ under PHx. (C) UMAP plot displays the distribution of the regeneration signature in all cell types of the PHx 0h and PHx 48h group. (D) Score of regeneration-related signature in all 15 hepatocyte clusters. The regeneration-related signature was composed of 17 machine-learning-identified genes. (E) UMAP plot depicts the expression changes of the regeneration-related signature. (F) Pseudotime analysis of the hepatocytes. Three states/branches were calculated by monocle2 package based on highly varied genes. (G) Pseudotime distribution of the 15 hepatocytes clusters. (H) Pseudotime heatmap plots the changes of 17 genes following the pseudotime changes.