plott.savefig(ddpt["writekey"]+"_vsorder")
elif X.shape[1] < 50:
// plot time series as heatmap, as in Haghverdi et al. (2016), Fig. 1d
plott.timeseries_as_heatmap(X[ddpt["indices"],:40], ddata["col_names"],
highlightsX=ddpt["changepoints"])
plott.savefig(ddpt["writekey"]+"_heatmap")
if not sett.savefigs and sett.autoshow:
After Change
// color by pseudotime and by segments
colors = [ddpt["pseudotimes"], "white"]
// coloring according to experimental labels
if len(adata.smp_keys()) > 0:
colors.append("grey")
// highlight root
highlights = list(ddpt["iroot"])
