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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Detalles Bibliográficos
Autores principales: Jin, Liang, Bi, Yingtao, Hu, Chenqi, Qu, Jun, Shen, Shichen, Wang, Xue, Tian, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815892/
https://www.ncbi.nlm.nih.gov/pubmed/33469060
http://dx.doi.org/10.1038/s41598-021-81279-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7815892/
https://www.ncbi.nlm.nih.gov/pubmed/33469060
http://dx.doi.org/10.1038/s41598-021-81279-4

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