MicrobiologybioRxiv
Zero is not absence: censoring-based differential abundance analysis for microbiome data
The paper introduces CAMP, a normalization method for microbiome data that treats zeros as censored observations, enabling survival analysis techniques for differential abundance analysis and improving statistical power and type I error control.
DOI 10.1093/bioinformatics/btae071