Drug Response Prediction

scFoundationJupyter Notebook

A 100M-parameter foundation model for single-cell transcriptomics, enabling gene expression enhancement, drug response prediction, and perturbation analysis.

BulkFormerJupyter Notebook

A large-scale foundation model pretrained on over 500,000 human bulk RNA-seq profiles for biomedical transcriptome analysis.

TGSAPython

PyTorch implementation of twin graph neural networks with similarity augmentation for drug response prediction using protein-protein associations.

MOFGCNPython

A deep learning model that predicts drug response by fusing multi-omics data with graph convolutional networks.

drGATJupyter Notebook

Attention-based GNN model for predicting drug sensitivity and explaining gene contributions using a drug-cell-gene heterogeneous network.

DGDRPPython

A GNN-based deep learning model that performs drug-specific gene selection for improved drug response prediction.