golubInfo: Classifying factors for the 72 columns of the Golub data set
Description
Details are given of the classifying factors for the 72
columns of the Golub data set.
Format
A data frame with 72 observations on the following 6 variables,
that identifies the samples (observations) in the data set Golub
Samples- a numeric vector: sample number
BM.PB- a factor with levels
BM (from bone marrow)
PB (from peripheral blood) Gender- a factor with levels
F M Source- a factor with levels
CALGB CCG DFCI St-Jude. These are the hospitals from which the sample came tissue.mf- a factor with levels
BM:NA BM:f BM:m PB:NA PB:f PB:m. This factor identifies the
several combinations of source and Gender cancer- a factor with levels
allB allT aml
There are two types of Acute Lymphoblastic Leukemia (allB and
allT), plus Acute Myoblastic Leukemia (aml)
Source
See the help page for the dataset golubMerge, in the
golubEsets package, for details of the source of the original
data.References
Molecular Classification of Cancer: Class Discovery and Class Prediction by
Gene Expression Monitoring, Science, 531-537, 1999, T. R. Golub and
D. K. Slonim and P. Tamayo and C. Huard and M. Gaasenbeek and J. P. Mesirov
and H. Coller and M.L. Loh and J. R. Downing and M. A. Caligiuri and
C. D. Bloomfield and E. S. Lander
Examples
Run this codedata(golubInfo)
str(golubInfo)
Run the code above in your browser using DataLab