Here, we analyzed RNA expression in more than 690K individual cells sampled from nine different regions of the adult mouse brain, encompassing all brain cell classes. We developed an ICA-based computational method that we used to disentangle technical effects from endogenous biological signals. We highlighted several ways in which such data identify novel cell types, ascertain cell states, and clarify the molecular basis of regionalization across brain circuits and cell classes.
