Methodology article
Gene selection and classification of microarray data using random forest
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* Corresponding author: Ramón Díaz-Uriarte rdiaz@ligarto.org
1 Bioinformatics Unit, Biotechnology Programme, Spanish National Cancer Centre (CNIO), Melchor Fernandez Almagro 3, Madrid, 28029, Spain
2 Cytogenetics Unit, Biotechnology Programme, Spanish National Cancer Centre (CNIO), Melchor Fernández Almagro 3, Madrid, 28029, Spain
BMC Bioinformatics 2006, 7:3 doi:10.1186/1471-2105-7-3
Published: 6 January 2006Additional 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
This file can be viewed with: Adobe Acrobat Reader
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: 3.1MB 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