Examining the significance of fingerprint-based classifiers

doi:10.1186/1471-2105-9-545

BMC Bioinformatics

Volume 9

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Research article

Examining the significance of fingerprint-based classifiers

Brian T Luke and Jack R Collins

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

author email corresponding author email

BMC Bioinformatics 2008, 9:545doi: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 1^stand 200^thbest classifier as a function of the number of Cases and Controls.

Format: DOC Size: 73KB Download file

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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