Multidimensional analysis can be used to visualize gene expression across HSPC differentiation. (A) Schematic explaining how diffusion maps are used as a dimensionality reduction procedure. (B) Diffusion map of all cells was colored on the basis of previously defined clusters (cluster 1, purple; cluster 2, turquoise; cluster 3, gold; cluster 4, pink). Diffusion components 1, 2, and 3 are shown. (C) Diffusion map of all cells was colored according to the expression of selected genes. The genes were chosen on the basis of published literature or were identified computationally as highly expressed in specific cell populations. The color corresponds to a log₂ scale of expression ranging between 0 and the maximum value for each gene. (D) Diffusion map of all cells was colored by surface marker expression from the normalized index data. The majority of these markers were used for cell selection, with the exception of CD48, CD150, and EPCR. The color corresponds to a linear scale of expression ranging between the minimum and maximum value for each marker.