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GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies
Left-censored missing values commonly exist in targeted metabolomics datasets and can be considered as missing not at random (MNAR). Improper data processing procedures for missing values will cause adverse impacts on subsequent statistical analyses. However, few imputation methods have been develop...
Gorde:
| Argitaratua izan da: | PLoS Comput Biol |
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| Egile Nagusiak: | , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Public Library of Science
2018
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5809088/ https://ncbi.nlm.nih.gov/pubmed/29385130 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1005973 |
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