Hypergraph-based analysis of weighted gene co-expression hypernetwork
WGCHNA effectively addresses WGCNA's limitations, providing superior accuracy in detecting gene modules and deeper insights for disease research, making it a powerful tool for analyzing complex biological systems.
Authors
- Changxin Song (ORCID: https://orcid.org/0000-0001-5217-1854)
- Libing Bai
- Chunyang Tang (ORCID: https://orcid.org/0009-0008-5898-1901)
- Zongjin Li (ORCID: https://orcid.org/0000-0003-2134-2651)
- Feng Hu
Institutions
- North China University of Science and Technology (CN)
- Qinghai Normal University (CN)
- Qinghai Tibetan Hospital (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-04-04
- DOI
- https://doi.org/10.3389/fgene.2025.1560841
- Citations
- 6
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 4.84
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Qinghai