Mediation CNN (Med-CNN) Model for High-Dimensional Mediation Data.

ABSTRACT: Complex biological features such as the human microbiome and gene expressions play a crucial role in human health by mediating various biomedical processes that influence disease progression, such as immune responses and metabolic processes. Understanding these mediation roles is essential for gaining insights into disease pathogenesis and improving treatment outcomes. However, analyzing such high-dimensional mediation features presents challenges due to their inherent structural and correlations, such as the hierarchical taxonomic structures in microbial operational taxonomic units (OTUs), gene-pathway relationships, and the high dimensionality of the datasets, which complicates mediation analysis. We propose the Med-CNN model, an iterative approach using Convolutional Neural Networks (CN

SUBMITTER: Li Y 

PROVIDER: S-EPMC11899585 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature