trainClass: Sample Training Data for the Iterative BMA Algorithm

In iterativeBMA: The Iterative Bayesian Model Averaging (BMA) algorithm

Description

This is an adapted leukemia (ALL, AML) dataset from Golub et al. (1999). This is a zero-one vector for 38 training samples. Class 0 represents an ALL sample, while class 1 represents an AML sample.

Usage

data(trainClass)

Format

The vector is called trainClass.

Source

The golubEsets bioconductor data package, or http://www.broad.mit.edu/cgi-bin/cancer/datasets.cgi.

References

Golub, T.R., Slonim, D.K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J.P., Coller, H., Loh, M.L., Downing, J.R., Caligiuri, M.A., et al. (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286: 531-7.

iterativeBMA documentation built on Nov. 8, 2020, 5:14 p.m.