ACmix-Swin Deep Learning of 4-Day-Old Apis mellifera Larval Transcriptomes Reveals Early Caste-Biased Regulatory Hubs
Caste- and sex-specific transcriptional programs are established early in larval development. The ACmix-Swin framework provides an effective strategy for high-dimensional transcriptome interpretation and robust hub-gene identification.
Authors
- Jinyou Li (ORCID: https://orcid.org/0000-0001-9042-7638)
- Weixue Tian
- Xiang Ding (ORCID: https://orcid.org/0000-0003-1097-176X)
- Runlang Su (ORCID: https://orcid.org/0009-0004-5028-4782)
- Peixun Gong
- Dan Yue
Institutions
- Boston University (US)
- Yunnan Agricultural University (CN)
- University of Massachusetts Boston (US)
- University of Chinese Academy of Sciences (CN)
- Industrial and Commercial Bank of China (CN)
Publication Details
- Journal
- Genes
- Published
- 2025-12-25
- DOI
- https://doi.org/10.3390/genes17010017
- Primary Topic
- Insect and Arachnid Ecology and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00