Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment
Fields of Study & Subjects
Machine Learning in Bioinformatics
Prostate Cancer Treatment and Research
Computational Drug Discovery Methods
Publication details
- Journal / source
- Molecular Diversity
- Publisher
- Springer Science and Business Media LLC
- Volume
- 30
- Issue
- 2
- Pages
- 2833–2851
- Publication date
- 4 March 2026
- Language
- EN