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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Bibliographic Details
Main Authors: Yuming Shi, Huan Zhong, Jason C. Rogalski, Leonard J. Foster
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Computational and Structural Biotechnology Journal
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Online Access:http://www.sciencedirect.com/science/article/pii/S200103702500162X
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