Can Cui

College of Sciences

2021 article

Bayesian variable selection for high-dimensional rank data

Cui, C., Singh, S. P., Staicu, A.-M., & Reich, B. J. (2021, May 24). ENVIRONMETRICS, Vol. 5.

By: C. Cui n, S. Singh n, A. Staicu n & B. Reich n

author keywords: Bayesian variable selection; high dimensional rank model; microbiome data
TL;DR: This paper analyzes a global dataset to investigate environmental factors that affect topsoil microbiome and proposes transforming to taxa ranks and developing a Bayesian variable selection model that uses ranks to identify covariates that influence microbiome composition. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: June 10, 2021

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