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
.
Brunet J, Tamayo P, Golub TR and Mesirov JP (2004).
"Metagenes and molecular pattern discovery using matrix
factorization." _Proceedings of the National Academy of
Sciences of the United States of America_, *101*(12), pp.
4164-9. ISSN 0027-8424,
data(esGolub)
esGolub
pData(esGolub)
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