| Author | Barboza, Rodrigo | |
| Author | Cociorva, Daniel | |
| Author | Xu, Tao | |
| Author | Barbosa, Valmir C. | |
| Author | Perales, Jonas | |
| Author | Valente, Richard H. | |
| Author | França, Felipe M. G. | |
| Author | Yates, John R. | |
| Author | Carvalho, Paulo C. | |
| Access date | 2018-04-03T11:40:17Z | |
| Available date | 2018-04-03T11:40:17Z | |
| Document date | 2011 | |
| Citation | BARBOZA, Rodrigo; et al. Can the false-discovery rate be misleading?. Proteomics. v.11, n.20, p.4105-4108, Oct. 2011. | pt_BR |
| ISSN | 1615-9853 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/25572 | |
| Language | eng | pt_BR |
| Publisher | Wiley | pt_BR |
| Rights | restricted access | |
| Subject in Portuguese | taxa de descoberta falsa | pt_BR |
| Subject in Portuguese | proteômica de espingarda | pt_BR |
| Subject in Portuguese | identificação de proteínas | pt_BR |
| Subject in Portuguese | chamariz | pt_BR |
| Title | Can the false-discovery rate be misleading? | pt_BR |
| Type | Article | |
| DOI | 10.1002/pmic.201100297 | |
| Abstract | The decoy-database approach is currently the gold standard for assessing the confidence of identifications in shotgun proteomic experiments. Here, we demonstrate that what might appear to be a good result under the decoy-database approach for a given false-discovery rate could be, in fact, the product of overfitting. This problem has been overlooked until now and could lead to obtaining boosted identification numbers whose reliability does not correspond to the expected false-discovery rate. To overcome this, we are introducing a modified version of the method, termed a semi-labeled decoy approach, which enables the statistical determination of an overfitted result. | pt_BR |
| Affilliation | Universidade Federal do Rio de Janeiro. COPPE. Programa de Engenharia de Sistemas e Ciência da Computação. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | The Scripps Research Institute. Department of Chemical Physiology. La Jolla, CA, USA. | pt_BR |
| Affilliation | The Scripps Research Institute. Department of Chemical Physiology. La Jolla, CA, USA. | pt_BR |
| Affilliation | Universidade Federal do Rio de Janeiro. COPPE. Programa de Engenharia de Sistemas e Ciência da Computação. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Toxinologia. Rio de Janeiro, RJ. Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Toxinologia. Rio de Janeiro, RJ. Brasil. | pt_BR |
| Affilliation | Universidade Federal do Rio de Janeiro. COPPE. Programa de Engenharia de Sistemas e Ciência da Computação. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | The Scripps Research Institute. Department of Chemical Physiology. La Jolla, CA, USA. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Centro de Desenvolvimento Tecnológico em Saúde. Rio de Janeiro, RJ. Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Toxinologia. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Subject | shotgun proteomics | pt_BR |
| Subject | overfitting | pt_BR |
| Subject | protein identification | pt_BR |
| Subject | false-discovery rate | pt_BR |
| Subject | decoy | pt_BR |
| e-ISSN | 1615-9861 | |
| Embargo date | 2030-01-01 | |
