ML-driven platform for Glioblastoma drug recommendation using GDSC data. Features multi-model prediction (RF, XGBoost, NN, SVM, KNN), molecular similarity analysis (Tanimoto, MCS, GCN), pathway enrichment, drug interaction checking, and combination therapy optimization with interactive dashboard.
machine-learning bioinformatics cheminformatics computational-chemistry xgboost drug-discovery drug-repurposing rdkit pathway-analysis cancer-research gdsc glioblastoma one-class-svm molecular-similarity molecular-fingerprints graph-neural-networks precision-oncology drug-screening drug-interactions combination-therapy
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Updated
Mar 6, 2026 - Python