Article

CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells

2025-12-01

Abstract excerpt

<h4>Background</h4> Differential abundance analysis is fundamental to microbiome research and provides valuable insights into host-microbe interactions. However, microbiome data are compositional, highly sparse (with many zero counts), and influenced by differential experimental biases across taxa. Standard statistical methods often overlook these features. Many approaches analyze relative abundances without acco...

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Literature Corpus work: 3abb3aea-57b1-55c1-ad54-9976f541eaac
DOI: 10.1101/2025.11.26.690468

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