Abstract

With the rapid advancement of bioinformatics, multi-omics data has become a crucial resource for disease research and therapeutic strategy development. This paper provides a detailed exploration of methods for constructing and analyzing disease networks using multi-omics data, aiming to uncover complex mechanisms of diseases from a novel perspective and offer strategic guidance for precision medicine. The article begins by reviewing the fundamental concepts and research backgrounds of multi-omics data and disease networks, then elaborates on the systematic construction and in-depth network analysis of disease networks utilizing multi-omics data. Additionally, the paper discusses the promising applications and challenges of this approach in enhancing disease understanding, accelerating drug discovery, and advancing personalized treatment. Through the integrated application of multi-dimensional information from genomics, proteomics, and metabolomics, we can comprehensively and accurately uncover the pathogenesis of diseases, thereby providing powerful tools and methodological support for future medical research and therapeutic strategies.