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Open Access Research article

Examining the significance of fingerprint-based classifiers

Brian T Luke* and Jack R Collins

Author Affiliations

Advanced Biomedical Computing Center, Advanced Technology Program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD 21702, USA

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BMC Bioinformatics 2008, 9:545 doi:10.1186/1471-2105-9-545

Published: 17 December 2008

Additional files

Additional file 1:

Decision tree classification accuracy for each dataset. This table lists the classification accuracy (sum of the sensitivity and specificity as percentages) using the decision tree algorithm for the 1st and 200th best classifier as a function of the number of Cases and Controls.

Format: DOC Size: 73KB Download file

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Open Data

Additional file 2:

Medoid classifier algorithm accuracy for each dataset. This table lists the classification accuracy (sum of the sensitivity and specificity as percentages) using the medoid classification algorithm for the 1st and 200th best classifier as a function of the number of Cases and Controls from two runs using five, six, and seven peaks with random intensities.

Format: DOC Size: 121KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data