geneClassifiers-package: geneClassifiers: Application of gene classifiers

In 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 [e-mail] (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

geneClassifiers documentation built on Nov. 8, 2020, 4:58 p.m.