DLBCL: A Diffuse Large B-cell Lymphoma (DLBCL) data
In EMMIXuskew: Fitting Unrestricted Multivariate Skew t Mixture Models

Description Usage Format Details Source References Examples

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.

1	data(DLBCL)

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

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

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

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/.

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)