Composition-on-composition regression analysis for multi-omics integration of metagenomic data.

ABSTRACT:

Motivation

Compositional data are frequently encountered in many disciplines, such as in next-generation sequencing experiments widely used in biomedical studies. Regression analysis with compositional data as either responses or predictors has been well studied. However, when both responses and predictors are compositional, the inventory of analysis tools is surprisingly limited, especially in the high-dimensional setting. Among the few existing methods, most of them rely on a log-ratio transformation to move compositional data from the simplex to real numbers. Yet, a serious weakness of these methods is their failure to handle the substantial fraction of zeroes observed in data collected from next-generation sequencing experiments.

Results

To investigate associations betwe

SUBMITTER: Rios N 

PROVIDER: S-EPMC12279295 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature