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. Method is detailed in: Commenges, Alkhassim, Gottardo, Hejblum & Thiebaut (2018) <doi: 10.1002/cyto.a.23601>.
|Author||Chariff Alkhassim, Boris P Hejblum, Anthony Devaux, Van Hung Huynh Tran|
|Maintainer||Boris P Hejblum <firstname.lastname@example.org>|
|License||LGPL-3 | file LICENSE|
|Package repository||View on CRAN|
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