SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data

BACKGROUND: Identifying differentially abundant features between different experimental groups is a common goal for many metabolomics and proteomics studies. However, analyzing data from mass spectrometry (MS) is difficult because the data may not be normally distributed and there is often a large f...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Yuntong, Fan, Teresa W.M., Lane, Andrew N., Kang, Woo-Young, Arnold, Susanne M., Stromberg, Arnold J., Wang, Chi, Chen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798423/
https://www.ncbi.nlm.nih.gov/pubmed/31623550
http://dx.doi.org/10.1186/s12859-019-3067-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798423/
https://www.ncbi.nlm.nih.gov/pubmed/31623550
http://dx.doi.org/10.1186/s12859-019-3067-z

Ejemplares similares