golubInfo: Classifying factors for the 72 columns of the Golub data set

In hddplot: Use Known Groups in High-Dimensional Data to Derive Scores for Plots

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.

Usage

data(golubInfo)

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

data(golubInfo)
str(golubInfo)

hddplot documentation built on Sept. 14, 2023, 5:07 p.m.