Automatic data-base independent peptide identification from collision-induced dissociation tandem mass spectrometry data is made difficult by large plateaus in the fitness landscapes of scoring functions and the fuzzy nature of the constraints that is due to noise in the data. Two different scoring functions are combined into a parallel multi-objective optimization framework.
Revised: January 18, 2006 |
Published: December 10, 2005
Citation
Malard J.M., A. Heredia-Langner, W.R. Cannon, R.W. Mooney, and D.J. Baxter. 2005.Peptide identification via constrained multi-objective optimization: Pareto-based genetic algorithms.Concurrency and Computation. Practice & Experience 17, no. 14:1687-1704.PNNL-SA-42966.