Building pathway clusters from Random Forests classification using class votes

doi:10.1186/1471-2105-9-87

BMC Bioinformatics

Volume 9

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Methodology article

Building pathway clusters from Random Forests classification using class votes

Herbert Pang¹ and Hongyu Zhao¹^,2

¹Division of Biostatistics, Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, CT 06520, USA

²Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA

author email corresponding author email

BMC Bioinformatics 2008, 9:87doi:10.1186/1471-2105-9-87


Published:	6 February 2008

Additional files

Additional file 1:

This file contains supporting information for this paper. These include: a study of weighted random forests vs. balanced random forests, GeneGo MetaCore output and tight clusters and absolute differences results.

Format: DOC Size: 291KB Download file

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Additional file 2:

Tight Clustering results for 5, 10, 15 and 20 tight clusters.

Format: XLS Size: 64KB Download file

This file can be viewed with: Microsoft Excel Viewer

Additional file 3:

Tight Clustering results for 20, 25, 30 and 35 tight clusters.

Format: XLS Size: 95KB Download file

This file can be viewed with: Microsoft Excel Viewer