IMdata

<p>A dataset containing 10,000 cells and 39 markers of mass cytometry subsampled
from the sample SUB116516.478 from the study SDY478 by Mark Davis 
retrieved from ImmuneSpace</p>

data

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>.

Boris P. Hejblum

cytometree

Automated Cytometry Gating and Annotation

IMdata function

<p>A data frame with 10,000 rows and 39 variables:</p>

IMdata: Influenza vaccine response dataset

Description

Usage

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