1. TCR-ESM
A tool to predict TCR-peptide-MHC binding based on embeddings derived from ESM, a large protein language model.
2. graphB3
GraphB3, a state-of-the-art Graph Convolutional Network (GCN) model designed to predict the BBB permeability of drug candidates.
3. PrediLnc
PrediLnc, a comprehensive platform for elucidating lncRNA-disease associations for uncovering novel therapeutic targets and understanding disease mechanisms.
4. Resistance to Axitinib
Codes and data files for reproducing the work done for deciphering context-specific Axitinib escape pathways via multi-omics and explainable machine learning.
5. Transformer-based Model for Medical Image Analysis
Code and data files for the fine-tuned transformer model designed to maximize performance in medical image analysis.