vV70genes


  Gene Expression values and output classes of the 70 best genes selected by van't Veer et al. (cf. references) on
78 patients in `Gene expression profiling predicts clinical outcome of breast cancer'.


datasets

Microarray Classification is designed for both biologists and statisticians.
It offers the ability to train a classifier on a labelled microarray dataset and to then use
that classifier to predict the class of new observations. A range of modern classifiers are available, including
support vector machines (SVMs), nearest shrunken centroids (NSCs)... Advanced methods are provided to estimate
the predictive error rate and to report the  subset of genes which appear essential in discriminating between classes.

Camille Maumet

Rmagpie

MicroArray Gene-expression-based Program In Error rate estimation

vV70genes function

Format

Gene Expression values and output classes of the 70 best genes selected by van't Veer et al. (cf. references) on
78 patients in `Gene expression profiling predicts clinical outcome of breast cancer'.

vV70genes: vV70genes: van't Veer et al. 70 best genes in an object of class dataset.

Description

Usage

Arguments

Format

References

Examples