srbct {dprep} | R Documentation

## The Khan et al.'s small round blood cells dataset

### Description

The sbrct dataset which contains information of 63 samples and 2308 genes. The samples are distributed in four classes as follows: 8 Burkitt Lymphoma (BL), 23 Ewing Sarcoma (EWS), 12 neuroblastoma (NB), and 20 rhabdomyosarcoma (RMS). The last column contains the labels of the fourth classes

### Usage

    data(srbct)

### Format

A data frame containing 63 observations of 2308. The last column of the dat frame contains the class labels for each observations.

### Source

The data set was obtained, as binary R file from Marcel Dettling's web site:

- http://stat.ethz.ch/~dettling/bagboost.html

### References

Javed Khan, Jun S. Wei, Markus Ringner, Lao H. Saal, Marc Ladanyi, Frank Westermann, Frank Berthold, Manfred Schwab, Cristina R. Antonescu, Carsten Peterson, and Paul S. Meltzer (2001). Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, Volume 7, Number 6, June

### Examples

    #---z-score Normalization
    data(srbct)
    rangenorm(srbct,"znorm")
    #---feature selection using the RELIEF-----
    #relief(srbct,63,0.12)

[Package dprep version 1.0 Index]