This is the preprocessed Golub's dataset, where the training and the learning
set are first joined and then preprocessed according to the Dudoit et al.'s paper.
Usage
data(pp.golub)
Arguments
format
A data frame with 72 observations on 3572 variables.
Dudoit, S., Fridlyand, J. & Speed, T. P. (2002) Comparison of discrimination methods for the classification of tumors suing gene
expression data. J Am Stat Assoc, 97 (457), 77--87.
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R.,
Caligiuri, M. A., Bloomfield, C. D. & Lander, E. S. (1999) Molecular classification of cancer: class discovery and class prediction
by gene expression monitoring. Science, 286, 531--537.