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Notes: Plan0- Apply the scanpy method to clean and process the data Plan1- Next use Difussion Map or PCreode to reduce the dimension of the data and then obtain the cell trajectories in the difussion position/time co-ordinates. Plan3- Write a N-D random walk code and and run simulations of walks in the lower-dimensional manifold Plan4- Check if cells clustered using K-means or Louvain separate out in the low-manifold projection (D-map, SPRING, and t-sne, PCA) Plan5- Optimal clusters Plan5-Genes relevant within each cluster and for describing all cells (PC genes, DM genes, or simply based on Disersion table)