DLBCL: A Diffuse Large B-cell Lymphoma (DLBCL) data

Description Usage Format Details Source References Examples

Description

A sample from the Diffuse Large B-cell Lymphoma (DLBCL) dataset from Aghaeepour et al. (2013). The original data contain measurements from biopsies of 30 DLBCL patients. Each sample was stained with three antibodies, CD3, CD5, and CD19. This is a subset from one patient.

Usage

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Format

DLBCL is a data frame with over 8000 observations (rows) on the following 3 markers (rows).

CD3

marker 1

CD5

marker 2

CD19

marker 3

Details

DLBCL is a data frame as described above. true.clusters is a set of cluster labels given by manual gating.

Source

The raw data is available from the FlowRepository database. https://flowrepository.org/id/FR-FCM-ZZYY

References

Spidlen J, Breuer K, Rosenberg C, Kotecha N and Brinkman RR. (2012) FlowRepository - A Resource of Annotated Flow Cytometry Datasets Associated with Peer-reviewed Publications. Cytometry A, 81(9):727-31.

Aghaeepour et al. (2013) Critical assessment of automated flow cytometry analysis techniques. Nature Methods, 10, 228-238.

Lee, S. and McLachlan, G.J. (2013) EMMIXuskew: An R package for fitting mixtures of multivariate skew t-distributions via the EM algorithm. Journal of Statistical Software, 55(12), 1-22. URL http://www.jstatsoft.org/v55/i12/.

Examples

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data(DLBCL)
## Not run: 
RNGversion("3.0.2");  set.seed(240)
Fit <- fmmst(4, DLBCL, nkmeans=1)
fmmst.contour.3d(DLBCL, model = Fit, level = 0.985, drawpoints = FALSE, 
  xlab="CD3", ylab="CD5", zlab="CD19", component=1:4)

## End(Not run)

EMMIXuskew documentation built on May 29, 2017, 11:25 p.m.