A parametric survival model with bayesian structural equation based on multi-omics integration
In conclusion, our extended Bayesian structural equation model for multi-omics survival analysis provides a robust framework that significantly enhances predictive accuracy by effectively capturing complex biological relationships across diverse omics data sources, demonstrating clear advantages over both non-integrated approaches and existing integrative methods like iBAG.
Authors
- Jiadong Chu (ORCID: https://orcid.org/0000-0002-0363-408X)
- Qida He (ORCID: https://orcid.org/0000-0003-0796-7620)
- Yueping Shen (ORCID: https://orcid.org/0000-0002-6304-4188)
- Qiang Han (ORCID: https://orcid.org/0000-0001-5646-3950)
- Yuheng Yuan (ORCID: https://orcid.org/0009-0006-9146-133X)
- Yu Wang (ORCID: https://orcid.org/0009-0003-8435-1288)
- Zhen Sun (ORCID: https://orcid.org/0000-0002-7224-3592)
- Na Sun (ORCID: https://orcid.org/0000-0002-3282-4405)
- Mengtong Sun
Institutions
- Shandong University (CN)
- City University of Hong Kong (HK)
- Soochow University (CN)
- Second Hospital of Shandong University (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-11-29
- DOI
- https://doi.org/10.1186/s12859-025-06338-3
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00