Article

msBayesImpute: A Versatile Framework for Addressing Missing Values in Biomedical Mass Spectrometry Proteomics Data

2025-10-04

Abstract excerpt

Advancements in mass spectrometry (MS) technologies have significantly improved the ability to quantify proteins and analyse their modifications. However, MS-based proteomics datasets frequently encounter missing values due to a complex interplay of missing at random (MAR) and missing not at random (MNAR) mechanisms. If unaddressed, such missing data can result in information loss and biased outcomes in data pre-p...

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Literature Corpus work: 257555bb-8e7b-5d28-acbf-bdb4de75d9c6
DOI: 10.1101/2025.10.02.679746

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