Fig. 3.

Single-cell qPCR analysis confirms three discrete states. a Linear principal component analysis (PCA) with a linear support vector classifier (SVC the yellow line) trained with “one-hot” labels (e.g. is it G4N or not) for each of the conditions and the first two principal component values were used to separate each of the generation and G2N/G4N cells from the other cells (in blue). The accuracy score of the ROC is reported for each individual generation and also for G2N/G4N (a traditional academic point system for accuracy scores can be found in Additional file 2). b State graph of 117 connected binary cell states for 11 transcription factors, constructed using the SCNS toolkit. Each edge represents the change in expression of a single gene. Grey circles are G0N cells, red circles are G2N/G4N cells and green circles represent G4P cells