Gene selection and classification of microarray data using random forest

Ramón Díaz-Uriarte¹ and Sara Alvarez de Andrés²

¹Bioinformatics Unit, Biotechnology Programme, Spanish National Cancer Centre (CNIO), Melchor Fernandez Almagro 3, Madrid, 28029, Spain

²Cytogenetics Unit, Biotechnology Programme, Spanish National Cancer Centre (CNIO), Melchor Fernández Almagro 3, Madrid, 28029, Spain

author email corresponding author email

BMC Bioinformatics 2006, 7:3doi:10.1186/1471-2105-7-3


Published:	6 January 2006

Additional files

Additional File 1:

A PDF file with additional results, showing error rates and stability for simulated data under various parameters, as well as error rates and stabilities for the real microarray data with other parameters, and further details on the data sets, simulations, and alternative methods.

Format: PDF Size: 343KB Download file

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Additional File 2:

A PDF file with additional plots of OOB error rate vs. mtry for both simulated data and real data under other parameters.

Format: PDF Size: 3.2MB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional File 3:

Source code for the R package varSelRF. This is a compressed (tar.gz) file ready to be installed with the usual R installation procedure under Linux/UNIX. Additional formats are available from CRAN [68], the Comprehensive R Archive Network.

Format: GZ Size: 27KB Download file