Given the hypothesis of a bimodal distribution of cells for each marker, the algorithm constructs a binary tree, the nodes of which are subpopulations of cells. At each node, observed cells and markers are modeled by both a family of normal distributions and a family of bimodal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families.
Package details 


Author  Chariff Alkhassim, Boris Hejblum 
Maintainer  Alkhassim Chariff <[email protected]> 
License  LGPL3  file LICENSE 
Version  1.1.1 
Package repository  View on GitHub 
Installation 
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