Machine learning model on multi-omics data enables risk stratification and identifies molecular heterogeneity and therapeutic targets in glioblastoma - PubMed
5 days ago
- #Glioblastoma
- #Machine Learning
- #Multi-Omics
- Machine learning model applied to multi-omics data for glioblastoma risk stratification.
- Identification of molecular heterogeneity and potential therapeutic targets in glioblastoma.
- Study approved by Human Research Ethics Committees with informed patient consent.
- Analysis includes publicly available datasets following relevant guidelines.
- Authors declare no competing interests.
- Supported by grants from Science and Technology Research and Development Joint Fund of Henan Province and National Natural Science Foundation of China.