Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach

Quantitative proteomics has matured into an established tool and longitudinal proteomics experiments have begun to emerge. However, no effective, simple-to-use differential expression method for longitudinal proteomics data has been released. Typically, such data is noisy, contains missing values, a...

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Detalles Bibliográficos
Autores principales: Välikangas, Tommi, Suomi, Tomi, Chandler, Courtney E., Scott, Alison J., Tran, Bao Q., Ernst, Robert K., Goodlett, David R., Elo, Laura L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780321/
https://www.ncbi.nlm.nih.gov/pubmed/36550114
http://dx.doi.org/10.1038/s41467-022-35564-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780321/
https://www.ncbi.nlm.nih.gov/pubmed/36550114
http://dx.doi.org/10.1038/s41467-022-35564-z

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