factor
with levelsc('ALL', 'AML')
.factor
with levelsc('T-cell', 'B-cell', NA)
. Original data from Golub et al.:
The data in esGolub
were obtained from the web
page related to the paper from Brunet et al.
(2004), which describes an application of Nonnegative
Matrix Factorization to gene expression clustering. (see
link in section Source).
They contain the 5,000 most highly varying genes
according to their coefficient of variation, and were
installed in an object of class
ExpressionSet-class
.
Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M,
Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri Ma,
Bloomfield CD and Lander ES (1999). "Molecular
classification of cancer: class discovery and class
prediction by gene expression monitoring." _Science (New
York, N.Y.)_, *286*(5439), pp. 531-7. ISSN 0036-8075,
data(esGolub)
esGolub
pData(esGolub)
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