This data comes originally from the gene expression data from Golub et al. (1999). The version included in the package is the one used and referenced in Brunet et al. (2004). The samples are from 27 patients with acute lymphoblastic leukemia (ALL) and 11 patients with acute myeloid leukemia (AML).
There are 3 covariates listed.
factor
with levels
c('ALL', 'AML')
. factor
with levels c('T-cell', 'B-cell', NA)
.
Web page for Brunet2004: http://www.broadinstitute.org/publications/broad872
Original data from Golub et al.: http://www-genome.wi.mit.edu/mpr/data_set_ALL_AML.html
The samples were assayed using Affymetrix Hgu6800 chips and the original data on the expression of 7129 genes (Affymetrix probes) are available on the Broad Institute web site (see references below).
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,
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,
# requires package Biobase to be installed
if( require(Biobase) ){
data(esGolub)
esGolub
## Not run: pData(esGolub)
}
## ExpressionSet (storageMode: lockedEnvironment)
## assayData: 5000 features, 38 samples
## element names: exprs
## protocolData: none
## phenoData
## sampleNames: ALL_19769_B-cell ALL_23953_B-cell ... AML_7 (38
## total)
## varLabels: Sample ALL.AML Cell
## varMetadata: labelDescription
## featureData
## featureNames: M12759_at U46006_s_at ... D86976_at (5000 total)
## fvarLabels: Description
## fvarMetadata: labelDescription
## experimentData: use 'experimentData(object)'
## Annotation: