Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach
oleh: Tommi Välikangas, Tomi Suomi, Courtney E. Chandler, Alison J. Scott, Bao Q. Tran, Robert K. Ernst, David R. Goodlett, Laura L. Elo
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-12-01 |
Deskripsi
Longitudinal proteomics holds great promise for biomarker discovery, but the data interpretation has remained a challenge. Here, the authors evaluate several tools to detect longitudinal differential expression in proteomics data and introduce RolDE, a robust reproducibility optimization approach.