A Dual-Background Statistical Framework for Phosphoproteomics Highlights Intrinsic, High-Confidence Phosphorylation Signature by Mitigating Orthogonal Sources of Bias.
- DOI
- 10.3390/proteomes14030033
- Published
- 2026-07-07
- Container
- Proteomes
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/proteomes14030033,
title = {A Dual-Background Statistical Framework for Phosphoproteomics Highlights Intrinsic, High-Confidence Phosphorylation Signature by Mitigating Orthogonal Sources of Bias.},
author = {Deng B.},
year = {2026},
journal = {Proteomes},
doi = {10.3390/proteomes14030033},
url = {https://doi.org/10.3390/proteomes14030033}
}RIS
TY - JOUR TI - A Dual-Background Statistical Framework for Phosphoproteomics Highlights Intrinsic, High-Confidence Phosphorylation Signature by Mitigating Orthogonal Sources of Bias. AU - Deng B. PY - 2026 JO - Proteomes DO - 10.3390/proteomes14030033 UR - https://doi.org/10.3390/proteomes14030033 ER -
APA
B., D. (2026). A Dual-Background Statistical Framework for Phosphoproteomics Highlights Intrinsic, High-Confidence Phosphorylation Signature by Mitigating Orthogonal Sources of Bias.. Proteomes. https://doi.org/10.3390/proteomes14030033
Source records
- europe-pmc · retrieved 2026-09-25T15:06:43.958Z