| Article ID: | iaor2009349 |
| Country: | United Kingdom |
| Volume: | 23 |
| Publication Date: | Jan 2007 |
| Journal: | Bioinformatics |
| Authors: | McIlwain Sean, Page David, Huttlin Edward L., Sussman Michael R. |
| Keywords: | programming: dynamic |
This article presents a method to identify the isotopic distributions within a mass spectrum using a probabilistic classifier supplemented with dynamic programming. Such a system is needed for a variety of purposes, including generating robust and meaningful features from mass spectra to be used in classification.