leukemia {supclust} | R Documentation |
Part of the training set of the famous AML/ALL-leukemia dataset from the Whitehead Institute. It has been reduced to 250 genes, about half of which are very informative for classification, whereas the other half was chosen randomly.
data(leukemia)
Contains three R-objects:
The expression (38 x 250) matrix leukemia.x
,
the associated binary (0,1
) response variable leukemia.y
,
and the associated 3-class response variable leukemia.z
with
values in 0,1,2
.
Marcel Dettling
originally at http://www.genome.wi.mit.edu/MPR/
, (which is
not a valid URL any more).
First published in
Golub et al. (1999)
Molecular Classification of Cancer: Class Discovery and Class
Prediction by Gene Expression Monitoring.
Science 286, 531–538.
data(leukemia, package="supclust")
str(leukemia.x)
str(leukemia.y)
str(leukemia.z)
op <- par(mfrow= 1:2)
plot(leukemia.x[,56], leukemia.y)
plot(leukemia.x[,174],leukemia.z)
par(op)