ISCAZIM: Integrated statistical correlation analysis for zero-inflated microbiome data.

ABSTRACT: Microbiome-metabolome association analysis is critical to reveal the key pairs of gut microbiota and metabolites for discovery of the microbial biomarkers in chronic diseases. However, the characteristics of microbiome data, such as zero inflation, over dispersion, may impair the confidence of association analysis between microbiome and metabolome data. The objectives of this study are to evaluate the strengths and weaknesses of existing statistical methods and to develop a computational framework tailored to the unique characteristics of microbiome data. We designed a computational framework called Integrated Statistical Correlation Analysis for Zero-Inflated Microbiome data (ISCAZIM) that takes account of complicated microbiome data characteristics, including zero inflation rates (ZIRs),

SUBMITTER: Fan Z 

PROVIDER: S-EPMC11730854 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature