MWENA: a novel sample re-weighting-based algorithm for disease classification and data interpretation using extracellular vesicles omics data
We anticipate that our proposed approach will take a modest step in harnessing EV omics data to discover biomarkers, aiding researchers in gaining a comprehensive understanding of biological processes.
Authors
- Haonan Long
- Shoujiang Li (ORCID: https://orcid.org/0000-0002-9779-9140)
- Shuilin Liao (ORCID: https://orcid.org/0000-0002-7067-2078)
- Shanghui Lu (ORCID: https://orcid.org/0009-0008-2029-5332)
- Yong Liang (ORCID: https://orcid.org/0000-0002-2858-2810)
- Le Li (ORCID: https://orcid.org/0000-0002-4999-2288)
- Ming Dong (ORCID: https://orcid.org/0000-0001-8803-5635)
- Qi Zhu
- Nan Tang (ORCID: https://orcid.org/0000-0002-7744-2670)
Institutions
- Macau University of Science and Technology (MO)
- Guangzhou Experimental Station (CN)
- Key Laboratory of Guangdong Province (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s12864-025-12093-9
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00