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Structural zeros in high-dimensional data with applications to microbiome studies
This paper is motivated by the recent interest in the analysis of high-dimensional microbiome data. A key feature of these data is the presence of “structural zeros” which are microbes missing from an observation vector due to an underlying biological process and not due to error in measurement. Typ...
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| Pubblicato in: | Biostatistics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5862388/ https://ncbi.nlm.nih.gov/pubmed/28065879 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxw053 |
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