Article

Adaptive Bayesian Transfer Learning under Compositional Generalized Linear Mixed Model for Microbiome Data Analysis

2026-05-14

Abstract excerpt

<title>Abstract</title> <p>Background With the development of high-throughput sequencing technologies, microbiome data play 8an increasingly important role in pathological analysis and disease prediction. However, microbiome data are typically characterized by high dimensionality, small sample sizes, and compositional constraints, which present significant challenges to conventional statistical methods, particula...

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Literature Corpus work: a39a7046-a932-5edf-a0a4-e86f68f5a88d
DOI: 10.21203/rs.3.rs-9261484/v1

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