leukemia: A part of the Golub's famous AML/ALL-leukemia dataset

Description Usage Format Author(s) Source References Examples

Description

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.

Usage

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Format

Contains three R-objects: The expression matrix leukemia.x, the associated binary response variable leukemia.y, and the associated 3-class response variable leukemia.z.

Author(s)

Marcel Dettling

Source

http://www.genome.wi.mit.edu/MPR/

References

First published in
Golub et al. (1999) Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring. Science 286, 531–538.

Examples

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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)

Example output

 num [1:38, 1:250] 3.15 3.1 2.98 3.24 3.19 ...
 num [1:38] 0 0 0 0 0 0 0 0 0 0 ...
 num [1:38] 0 1 1 0 0 1 0 0 1 1 ...

supclust documentation built on May 29, 2017, 9:19 a.m.