HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients
Abstract Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, yet the response rate remains limited, with only about 30% of solid tumor patients benefiting. Identifying reliable biomarkers to predict ICIs response remains a significant challenge. In this study, we proposed a ref...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
|
| Series: | npj Precision Oncology |
| Online Access: | https://doi.org/10.1038/s41698-025-00992-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|