Local false discovery rate estimation using feature reliability in LC/MS metabolomics data

False discovery rate (FDR) control is an important tool of statistical inference in feature selection. In mass spectrometry-based metabolomics data, features can be measured at different levels of reliability and false features are often detected in untargeted metabolite profiling as chemical and/or...

Descripción completa

Detalles Bibliográficos
Autores principales: Chong, Elizabeth Y., Huang, Yijian, Wu, Hao, Ghasemzadeh, Nima, Uppal, Karan, Quyyumi, Arshed A., Jones, Dean P., Yu, Tianwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657040/
https://www.ncbi.nlm.nih.gov/pubmed/26596774
http://dx.doi.org/10.1038/srep17221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4657040/
https://www.ncbi.nlm.nih.gov/pubmed/26596774
http://dx.doi.org/10.1038/srep17221

Ejemplares similares