FeaLect (version 1.20)

mcl_sll: MCL and SLL lymphoma subtypes

Description

A total of 237 features are identified for 22 lymphoma patients.

Usage

data(mcl_sll)

Format

A matrix. Each of the 237 columns represents a features except the first column which contains the label vector. Each of the 22 rows represents a patients.

Details

7 cases diagnosed with Mantel Cell Lymphoma (MCL) and 15 cases with Small Lymphocytic Lymphoma (SLL). The presented features are computed based on flow cytometry data The fist column contains the label vector which has value 1 for MCL cases and 0 for SLL cases.

References

"Statistical Analysis of Overfitting Features", manuscript in preparation.

See Also

FeaLect, train.doctor, doctor.validate, random.subset, compute.balanced,compute.logistic.score, ignore.redundant, input.check.FeaLect

Examples

# NOT RUN {
library(FeaLect)
data(mcl_sll)
F <- as.matrix(mcl_sll[ ,-1])	# The Feature matrix
L <- as.numeric(mcl_sll[ ,1])	# The labels
names(L) <- rownames(F)
message(dim(F)[1], " samples and ",dim(F)[2], " features.")
L

# }