golub: Gene expression dataset from Golub et al. (1999)

In supc: The Self-Updating Process Clustering Algorithms

Description

Gene expression data (3051 genes and 38 tumor mRNA samples) from the leukemia microarray study of Golub et al. (1999). Each row (gene) is scaled to mean 0 and standard deviation 1.

Value

golub	The matrix of scaled gene expression data.
golub.supc	The result of golub.supc <- supc1(golub, r = c(4, 4.3, 4.6, 4.7, 4.8), t = "dynamic")

References

Golub, T. R., D. K. Slonim, P. Tamayo P., C. Huard C, M. Gaasenbeek M., J.P. J. P. Mesirov, H. H. Coller, et al. 1999. Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring. Science 286 (5439): 531–37.

supc documentation built on Dec. 11, 2021, 5:07 p.m.