HFTC: a hierarchical fungal taxonomic classification model for ITS sequences using low-dimensional embedding features
HFTC offers a scalable and accurate approach for fungal taxonomic classification. Its compact feature representation and hierarchical architecture make it particularly suitable for microbial diversity research. The source code and datasets are publicly accessible at https://github.com/wjjw0731/HFTC/tree/master.
Authors
- Dongsheng Xiang
- Shaojie Qiao (ORCID: https://orcid.org/0000-0002-4703-780X)
- Chao Wang (ORCID: https://orcid.org/0000-0002-4649-3176)
- Yi Liao (ORCID: https://orcid.org/0000-0003-1550-6058)
- Jiawei Wang (ORCID: https://orcid.org/0009-0005-0575-2695)
Institutions
- Guangxi Medical University (CN)
- Chengdu University of Information Technology (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-10-03
- DOI
- https://doi.org/10.3389/fgene.2025.1650244
- Primary Topic
- Plant Pathogens and Fungal Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00