PathHDNN: a pathway hierarchical-informed deep neural network framework for predicting immunotherapy response and mechanism interpretation
In conclusion, PathHDNN provided an effective pathway hierarchical-informed framework for accurately predicting patient responses to immunotherapy and identified key pathways yielding valuable insights into the biological mechanisms underlying treatment responses, which is essential for advancing precision medicine.
Authors
- Yalan He
- Junwei Han (ORCID: https://orcid.org/0000-0002-3276-0819)
- Yongbao Zhang (ORCID: https://orcid.org/0000-0003-0452-5165)
- Bingyue Pan
- Liqiang Wang
- Ziyi Wang (ORCID: https://orcid.org/0000-0002-9007-1210)
- Xiangmei Li (ORCID: https://orcid.org/0000-0002-3871-8566)
- Yujie Tang
Institutions
- Harbin Medical University (CN)
Publication Details
- Journal
- Genome Medicine
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1186/s13073-025-01584-9
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00