Peptide Charge State Determination for Low-Resolution Tandem Mass Spectra

Authors:
Aaron A. Klammer;Christine C. Wu;Michael J. MacCoss;William Stafford Noble
Affiliations:
University of Washington;University of Colorado;University of Washington;University of Washington
Venue:
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Year:
2005

Citing 3
Cited 1

A training algorithm for optimal margin classifiers

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
An introduction to support Vector Machines: and other kernel-based learning methods

An introduction to support Vector Machines: and other kernel-based learning methods
Automatic Quality Assessment of Peptide Tandem Mass Spectra

Bioinformatics

Charge state determination of peptide tandem mass spectra using support vector machine (SVM)

IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering

Quantified Score

Hi-index	0.00

Visualization

Abstract