Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data

Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various methods have been applied for handling missing values, but the selection can significantly affect following data analyses. Typically, there are three types of missing values, missing not at random (MNAR), missing...

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Detalles Bibliográficos
Autores principales: Wei, Runmin, Wang, Jingye, Su, Mingming, Jia, Erik, Chen, Shaoqiu, Chen, Tianlu, Ni, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766532/
https://www.ncbi.nlm.nih.gov/pubmed/29330539
http://dx.doi.org/10.1038/s41598-017-19120-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766532/
https://www.ncbi.nlm.nih.gov/pubmed/29330539
http://dx.doi.org/10.1038/s41598-017-19120-0

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