BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Methodology article

On the analysis of glycomics mass spectrometry data via the regularized area under the ROC curve

Jingjing Ye1, Hao Liu2*, Crystal Kirmiz3, Carlito B Lebrilla3 and David M Rocke4

Author Affiliations

1 Department of Statistics, University of California, Davis, Davis, CA, 95616, USA

2 Division of Biostatistics, Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA

3 Department of Chemistry, University of California, Davis, Davis, CA, 95616, USA

4 Division of Biostatistics, University of California, Davis, Davis, CA, 95616, USA

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BMC Bioinformatics 2007, 8:477 doi:10.1186/1471-2105-8-477

Published: 12 December 2007

Additional files

Additional file 1:

Simulated data with different combinations of n and p used to evaluate TGDR-AUC algorithm.

Format: ZIP Size: 107KB Download file

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Additional file 2:

Introduction on how to use the provided C++ code and the simulated data.

Format: DOC Size: 20KB Download file

This file can be viewed with: Microsoft Word Viewer

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Additional file 3:

C++ source code for TGDR-AUC algorithm to estimate optimal parameters of λ and τ.

Format: CPP Size: 21KB Download file

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Additional file 4:

C++ source code for TGDR-AUC algorithm to estimate linear combination parameters and AUC after selecting optimal λ and τ.

Format: CPP Size: 9KB Download file

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