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Genomic data imputation with variational auto-encoders
BACKGROUND: As missing values are frequently present in genomic data, practical methods to handle missing data are necessary for downstream analyses that require complete data sets. State-of-the-art imputation techniques, including methods based on singular value decomposition and K-nearest neighbor...
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| Pubblicato in: | Gigascience |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7407276/ https://ncbi.nlm.nih.gov/pubmed/32761097 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giaa082 |
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