Execution time of the BMDD algorithm.

Execution time of the BMDD algorithm.

<p>(R version: 4.3.1 (2023-06-16); Platform: aarch64-apple-darwin20; CPU: Apple M2 Max; Memory: 32 GB). The y-axis represents the time (in seconds) that the BMDD algorithm needs to finish one iteration.</p>

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Bibliographic Details
Main Author:	Huijuan Zhou (5745020) (author)
Other Authors:	Jun Chen (4238) (author), Xianyang Zhang (2592901) (author)
Published:	2025
Subjects:	Microbiology Genetics Ecology Inorganic Chemistry Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified uses variational inference reconstructing true abundances real microbiome datasets multiple posterior samples microbiome sequencing data microbial biomarker discovery excessive zeros arising differential abundance analysis bimodal abundance distribution assume unimodal abundance computationally efficient solution efficient imputation taxa via scalable expectation require log probabilistic framework method offers maximization algorithm insufficient sampling inherently sparse downstream analyses dirichlet priors broadly applicable biological absence analyzing high accurate imputation
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