Hedenfalk | R Documentation |
These data come from the breast cancer gene expression study of Hedenfalk et al. (2001). The data set consists on 3226 gene expression levels measured on 7 patients with breast tumors having BRCA1 mutations (columns 1-7) and on 8 patients with breast tumors having BRCA2 mutations (columns 8-15). The rows correspond to the genes and the columns refer to the patients.
data(Hedenfalk)
A matrix with 3226 rows corresponding to the measured genes and 15 columns corresponding to the patients. The first 7 columns contain the measures for the patients with BRCA1 mutations and the patients with BRCA2 mutations are located in the last 8 columns.
Hedenfalk, I., Duggan, D., Chen, Y., Radmacher, M, Bitter, M., Simon, R., Meltzer, P., Guterson, B., Esteller, M., Kallioniemi, O., Wilfond, B., Borg, A., Trent, J., Raffeld, M., Yakhini, Z., BenDor, A., Dougherty, E., Kononen, J., Buberdorf, L., Fehrle, W., Pittaluga, S., Gruvberger, G., Loman, N., Johannsson, O., Olsson, H., and Sauter, G.(2001), Gene-Expression Profiles in Hereditary Breast Cancer. New England Journal of Medicine 344 (8), 539-548.
data(Hedenfalk)
X <- Hedenfalk
k <- dim(X)[1]
### Estimated densities of logged gene expression levels for patients with BRCA1 mutations.
s <- apply(X[, 1:7], 1, density)
### Plot of estimated densities of 6 randomly selected genes.
set.seed(375)
rs <- sample(1:k, 6)
plot(s[[rs[1]]], main = "Kernel estimates for 6 randomly selected genes",
xlab = "x", ylab = "density", xlim = c(-1, 4.3), ylim = c(0, 2))
for (i in 2:6){
lines(s[[rs[i]]], col = i)
}
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