Expression levels recorded for 3,571 genes in 72 patients with leukemia (Golub et al, 1999). The binary outcome encodes the disease subtype: acute lymphobastic leukemia (ALL) or acute myeloid leukemia (AML).

data(leukemia)

## Format

Data are represented as a 72 x 3,571 matrix x of gene expression values, and a vector y of 72 binary disease outcomes.

## Source

These are the preprocessed data of Dettling (2004) retrieved from the supplementary materials accompanying Friedman et al (2010).

## References

M. Dettling (2004). BagBoosting for tumor classification with gene expression data. Bioinformatics 20, 3583--3593.

J. Friedman, T. Hastie and R. Tibshirani (2010). Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software 33, 1--22.

T. R. Golub, et al. (1999). Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286, 531--537.

## Examples

  # See demo.leukemia.R vignette.