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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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發表在:PLoS One
Main Authors: Lenz, Michael, Schulz, Andreas, Koeck, Thomas, Rapp, Steffen, Nagler, Markus, Sauer, Madeleine, Eggebrecht, Lisa, Ten Cate, Vincent, Panova-Noeva, Marina, Prochaska, Jürgen H., Lackner, Karl J., Münzel, Thomas, Leineweber, Kirsten, Wild, Philipp S., Andrade-Navarro, Miguel A.
格式: Artigo
語言:Inglês
出版: Public Library of Science 2020
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7735586/
https://ncbi.nlm.nih.gov/pubmed/33315883
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243487
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