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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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Dettagli Bibliografici
Pubblicato in:Biostatistics
Autori principali: Kaul, Abhishek, Davidov, Ori, Peddada, Shyamal D.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Oxford University Press 2017
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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