Description Usage Format Author(s) Source References Examples
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.
1 |
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.
1 2 3 4 5 6 7 8 | 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)
|
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