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Open Access Highly Accessed Research article

A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification

Alexander Statnikov1, Lily Wang2 and Constantin F Aliferis1234*

Author Affiliations

1 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA

2 Department of Biostatistics, Vanderbilt University, Nashville, TN, USA

3 Department of Cancer Biology, Vanderbilt University, Nashville, TN, USA

4 Department of Computer Science, Vanderbilt University, Nashville, TN, USA

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BMC Bioinformatics 2008, 9:319  doi:10.1186/1471-2105-9-319

Published: 22 July 2008

Additional files

Additional file 1:

Results for all gene selection methods, classifiers, and datasets.

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Additional file 2:

Simulation experiment demonstrating sensitivity of random forests to input parameters.

Format: PDF Size: 14KB Download file

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Additional file 3:

Complete information about microarray datasets used in the study.

Format: PDF Size: 48KB Download file

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Open Data