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Plan of actions

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Sabyasachi Dasgupta edited this page Aug 3, 2018 · 3 revisions

Welcome to the Github-Wilson_data_analysis wiki!

Notes:

  • Plan-1- Apply the scanpy method to clean and process the data
  • Plan-2- 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.
  • Plan-3- Write a N-D random walk code and and run simulations of walks in the lower-dimensional manifold
  • Plan-4- Check if cells clustered usingK-means or Louvainseparate out in the low-manifold projection (D-map, SPRING, and t-sne, PCA)
  • Plan-5- Optimal clusters using Gap-Statistics or Dendogram analysis.
  • Plan-6-Genes relevant within each cluster and for describing all cells (PC genes, DM genes, or simply based on Disersion table)
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