Blair1213 / TREELinks
[NBME] Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning
☆22Updated last month
Alternatives and similar repositories for TREE
Users that are interested in TREE are comparing it to the libraries listed below
Sorting:
- ☆33Updated 9 months ago
- DeepTTC: a transformer-based model for predicting cancer drug response☆18Updated 2 years ago
- A deep generative neural network based approach to impute drug response☆21Updated 4 years ago
- Contextual AI models for single-cell protein biology☆89Updated 8 months ago
- Benchmarking study of machine learning methods for prediction of synthetic lethality☆18Updated 11 months ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆34Updated 2 years ago
- The official code implementation for DREAMwalk in Python.☆29Updated 2 years ago
- drugbank相关数据的处理,包括获取药物sdf结构文件,drug相关信息,drug作用相关蛋白信息,drugbank中drug id与其他数据库的映射,protein蛋白相关信息到其他数据库的映射☆23Updated 4 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆159Updated 3 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆29Updated 4 years ago
- ☆17Updated 4 years ago
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆24Updated 3 years ago
- ☆14Updated 3 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆28Updated 4 years ago
- ☆22Updated last year
- ☆57Updated 6 years ago
- ☆92Updated 2 years ago
- ☆68Updated 2 years ago
- BulkFormer: A large-scale foundation model for human bulk transcriptomes☆23Updated last week
- PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…☆62Updated 10 months ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 5 years ago
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆233Updated last year
- ☆38Updated 2 years ago
- CoGO: a contrastive learning framework to predict disease similarity based on gene network and ontology structure☆16Updated last year
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆131Updated 2 years ago
- CLEAR: Self-supervised contrastive learning for integrative single-cell RNA-seq data analysis☆34Updated 2 years ago
- ☆24Updated last year
- Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.☆127Updated 8 months ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆51Updated 4 years ago
- ☆30Updated 4 years ago