geneClassifiers-package {geneClassifiers} | R Documentation

## geneClassifiers: Application of gene classifiers

### Description

This packages aims for easy accessible application of classifiers which have been published in literature using an ExpressionSet as input.

### Details

Combining gene expression profiling data with survival data has led to the development of robust outcome predictors (gene classifiers).This package provides a method for running gene classifiers generating patient specific predictive outcomes. This package is intended to support and enable research. To yield stable results, this package requires a dataset of at least 20 patients.

For detail on how to use this package see the vignette: `vignette("geneClassifiers")`

### Author(s)

Maintainer: R Kuiper r.kuiper.emc@gmail.com (0000-0002-3703-1762)

### References

Kuiper R, Broyl A, de Knegt YA, Van Vliet MH, Van Beers EH, van der Holt B, el Jarari L, Mulligan G, Gregory W, Morgan G, Goldschmidt H. A gene expression signature for high-risk multiple myeloma. Leukemia. 2012 Nov;26(11):2406.

### See Also

Useful links:

- https://doi.org/doi:10.18129/B9.bioc.geneClassifiers

- Report bugs at https://github.com/rkuiper/geneClassifiers/issues

[Package geneClassifiers version 1.16.0 Index]