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A comparative study of evaluating missing value imputation methods in label-free proteomics

The presence of missing values (MVs) in label-free quantitative proteomics greatly reduces the completeness of data. Imputation has been widely utilized to handle MVs, and selection of the proper method is critical for the accuracy and reliability of imputation. Here we present a comparative study t...

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Bibliographische Detailangaben
Veröffentlicht in:Sci Rep
Hauptverfasser: Jin, Liang, Bi, Yingtao, Hu, Chenqi, Qu, Jun, Shen, Shichen, Wang, Xue, Tian, Yu
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7815892/
https://ncbi.nlm.nih.gov/pubmed/33469060
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81279-4
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