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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>.
Package details |
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Author | Chariff Alkhassim, Boris P Hejblum, Anthony Devaux, Van Hung Huynh Tran |
Maintainer | Boris P Hejblum <boris.hejblum@u-bordeaux.fr> |
License | LGPL-3 | file LICENSE |
Version | 2.0.2 |
Package repository | View on CRAN |
Installation |
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