A Transformer-Based Deep Diffusion Model for Bulk RNA-Seq Deconvolution
This work provides a high-precision, reproducible tool for cellular deconvolution. Crucially, the direct comparison with an MLP-based diffusion model provides definitive evidence that the Transformer architecture is key to its success, highlighting the potential of such models for solving complex bioinformatics problems.
Authors
- Jinlei Sun (ORCID: https://orcid.org/0009-0009-9194-2282)
- Guoqiang Wang (ORCID: https://orcid.org/0000-0001-6277-5467)
- Wenfei Zhang
- Yunqing Liu (ORCID: https://orcid.org/0000-0002-2516-834X)
- Huanli Li
- Jian-Xiang Sheng
- Jianwei Wu
Institutions
- Luoyang Institute of Science and Technology (CN)
Publication Details
- Journal
- Biology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3390/biology14091150
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Southeast University