Construction and Analysis of Disease Networks Based on Multi-omics Data


Yan Yin

1Hunan University of Arts and Science, Changde, Hunan, China.

2Philippine Christian University, Ermita, Manila, Philippines.

*Corresponding author: Yan Yin

Published: January 18,2024


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.


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How to cite this paper

Construction and Analysis of Disease Networks Based on Multi-omics Data

How to cite this paper: Yan Yin. (2023) Construction and Analysis of Disease Networks Based on Multi-omics Data. Advances in Computer and Communication4(6), 395-399.