ruoqi-liu / DeepIPW
Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).
☆95Updated 3 years ago
Alternatives and similar repositories for DeepIPW:
Users that are interested in DeepIPW are comparing it to the libraries listed below
- benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, p…☆109Updated 7 months ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆109Updated 2 years ago
- ☆65Updated last year
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 3 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆53Updated 4 years ago
- ☆21Updated 4 years ago
- SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases☆50Updated 5 months ago
- Cancer Drug Response prediction using a Recommender System☆41Updated last year
- ☆53Updated 5 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆79Updated last year
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆113Updated 2 years ago
- ☆34Updated 6 years ago
- PlaNet: Predicting population response to drugs via clinical knowledge graph☆21Updated 2 weeks ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆148Updated 2 years ago
- PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development☆91Updated last year
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆31Updated last year
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 4 years ago
- ☆16Updated 3 years ago
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction☆32Updated 5 years ago
- ☆23Updated 8 years ago
- ☆33Updated last year
- Drug Response Variational Autoencoder☆28Updated 5 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 4 years ago
- Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health Records☆24Updated 4 years ago
- ☆58Updated 3 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 3 months ago
- ☆15Updated 4 years ago
- Few shot learning for cancer☆35Updated 3 years ago