Optimizing imputation strategies for mass spectrometry-based proteomics considering intensity and missing value rates
Missing values (MVs) in omic datasets affect the power, accuracy, and consistency of statistical and functional analyses. In mass spectrometry (MS)-based proteomics, MVs can arise due to several reasons: peptides could be below instrumental detection limits, peptides or proteins might be absent or d...
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| Main Authors: | Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S200103702500162X |
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