Given the hypothesis of a bi-modal 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 bi-modal normal mixture distributions. Splitting is done according to a normalized difference of AIC between the two families.
|Author||Chariff Alkhassim, Boris Hejblum, Anthony Devaux|
|Maintainer||Boris Hejblum <[email protected]>|
|License||LGPL-3 | file LICENSE|
|Package repository||View on GitHub|
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