MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi-Omics Data

Abstract

Multi-omics technologies generate high-dimensional molecular signatures that provide unprecedented opportunities to uncover biological mechanisms. MAPA integrates molecular interactions and pathway-level functional context into a unified semantic-biological network and uses retrieval-augmented large language models to produce structured, literature-informed interpretations of functional modules.

Peng Gao

Assistant Professor

Chuchu WANG

Nanyang Assistant Professor

Lipidomics, Structure biology, Neurobiology