Article

Compositional knockoff filter for high-dimensional regression analysis of microbiome data

2019-11-21

Abstract excerpt

<h4> S ummary </h4> A critical task in microbiome data analysis is to explore the association between a scalar response of interest and a large number of microbial taxa that are summarized as compositional data at different taxonomic levels. Motivated by fine-mapping of the microbiome, we propose a two-step compositional knockoff filter (CKF) to provide the effective finite-sample false discovery rate (FDR) con...

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Literature Corpus work: c54bdbe4-911e-517a-ac50-11c2bf33e2ab
DOI: 10.1101/851337

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