trainData: 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) ExpressionSet from Golub et al. (1999). This ExpressionSet consists of the expression levels from 38 ALL or AML samples (rows), and 100 genes (columns). This dataset is used as an example training data in our examples.

Usage

data(trainData)

Format

The ExpressionSet is called trainData. Each entry in the exprs matrix represents the expression level of one gene from an ALL or AML sample.

Details

For illustration purposes, a subset of 100 genes from the package golubEsets is included in this package.

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.