| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10556181 | Journal of Proteomics | 2011 | 11 Pages |
Abstract
⺠A machine learning approach using retention time based support vector regressor (RT-SVR) is described. ⺠The application of RT-SVR model on Mascot results increases the accuracy and sensitivity of peptide identifications. ⺠q Value metric, as a function of ÎRT, is used for the first time to assess the significance of peptide identifications. ⺠Peptide and protein identifications increase by up to 89.4% and 83.5%, respectively, for NKL cells proteomic analysis. ⺠A user-friendly Windows-based software is available for free download.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Weifeng Cao, Di Ma, Arvinder Kapur, Manish S. Patankar, Yadi Ma, Lingjun Li,