scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks
Our work establishes scKAN as an efficient and interpretable framework that effectively bridges single-cell analysis with drug discovery. By combining lightweight architecture with the ability to uncover nuanced biological patterns, our approach offers an interpretable method for translating large-scale single-cell data into actionable therapeutic strategies. This approach provides a robust foundation for accelerating the identification of cell-type-specific targets in complex diseases.
Authors
- Yao Hu (ORCID: https://orcid.org/0000-0002-5477-8753)
- Zhenchao Tang (ORCID: https://orcid.org/0000-0003-4258-1301)
- Yu‐An Huang (ORCID: https://orcid.org/0000-0002-5346-2394)
- Jibin Wu (ORCID: https://orcid.org/0000-0003-0135-4188)
- Guanxing Chen (ORCID: https://orcid.org/0000-0002-4435-0884)
- Kay Chen Tan (ORCID: https://orcid.org/0000-0002-6802-2463)
- Haohuai He (ORCID: https://orcid.org/0000-0003-3831-3996)
- Zhi-An Huang (ORCID: https://orcid.org/0000-0001-9974-148X)
- Fan Xu (ORCID: https://orcid.org/0000-0003-2968-6483)
- Yuanming Feng (ORCID: https://orcid.org/0000-0001-9107-7553)
Institutions
- Hong Kong Polytechnic University (HK)
- City University of Hong Kong (HK)
- Northwestern Polytechnical University (CN)
- Dongguan University of Technology (CN)
- City College of Dongguan University of Technology (CN)
- Northwestern Polytechnic University (US)
Publication Details
- Journal
- Genome biology
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1186/s13059-025-03779-0
- Citations
- 4
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- City University of Hong Kong
- National Natural Science Foundation of China
- Hong Kong Polytechnic University
- Fundamental Research Funds for the Central Universities
- Basic and Applied Basic Research Foundation of Guangdong Province