An assessment of false discovery rates and statistical significance in label-free quantitative proteomics with combined filters

BACKGROUND: Many studies have provided algorithms or methods to assess a statistical significance in quantitative proteomics when multiple replicates for a protein sample and a LC/MS analysis are available. But, confidence is still lacking in using datasets for a biological interpretation without pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Qingbo, Roxas, Bryan AP
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2645366/
https://www.ncbi.nlm.nih.gov/pubmed/19187558
http://dx.doi.org/10.1186/1471-2105-10-43

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2645366/
https://www.ncbi.nlm.nih.gov/pubmed/19187558
http://dx.doi.org/10.1186/1471-2105-10-43

Ejemplares similares