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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 |
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| Main Authors: | , , , , , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2020
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| 主題: | |
| 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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