An unsupervised machine learning method for assessing quality of tandem mass spectra

BACKGROUND: In a single proteomic project, tandem mass spectrometers can produce hundreds of millions of tandem mass spectra. However, majority of tandem mass spectra are of poor quality, it wastes time to search them for peptides. Therefore, the quality assessment (before database search) is very u...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Wenjun, Wang, Jianxin, Zhang, Wen-Jun, Wu, Fang-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380733/
https://www.ncbi.nlm.nih.gov/pubmed/22759570
http://dx.doi.org/10.1186/1477-5956-10-S1-S12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380733/
https://www.ncbi.nlm.nih.gov/pubmed/22759570
http://dx.doi.org/10.1186/1477-5956-10-S1-S12

Ejemplares similares