Missing value imputation in proximity extension assay-based targeted proteomics data.

Missing value imputation in proximity extension assay-based targeted proteomics data.

Targeted proteomics utilizing antibody-based proximity extension assays provides sensitive and highly specific quantifications of plasma protein levels. Multivariate analysis of this data is hampered by frequent missing values (random or left censored), calling for imputation approaches. While appro...

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Bibliographic Details
Main Authors: Michael Lenz, Andreas Schulz, Thomas Koeck, Steffen Rapp, Markus Nagler, Madeleine Sauer, Lisa Eggebrecht, Vincent Ten Cate, Marina Panova-Noeva, Jürgen H Prochaska, Karl J Lackner, Thomas Münzel, Kirsten Leineweber, Philipp S Wild, Miguel A Andrade-Navarro
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0243487

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https://doi.org/10.1371/journal.pone.0243487

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