pp.golub {dprep} | R Documentation |
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.
data(pp.golub)
A data frame with 72 observations on 3572 variables.
This data set is available at:
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.
#----z-score Normalization--- data(pp.golub) rangenorm(pp.golub,"znorm")