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
- ☆66Updated last year
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆110Updated 3 years ago
- benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, p…☆121Updated 9 months ago
- scPretrain: Multi-task self-supervised learning for cell type classification☆23Updated 3 years ago
- ☆23Updated 4 years ago
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆54Updated 4 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆116Updated 3 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated last year
- ☆61Updated 3 years ago
- ☆33Updated last year
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆74Updated 3 years ago
- Drug Response Variational Autoencoder☆30Updated 6 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆152Updated 2 years ago
- SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases☆53Updated 8 months ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 4 years ago
- Disease subnetwork detection with explainable Graph Neural Networks☆23Updated 11 months ago
- ☆15Updated 4 years ago
- 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
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆82Updated last year
- Framework for Interpretable Neural Networks☆103Updated last month
- TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome☆14Updated 4 years ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 6 months ago
- PlaNet: Predicting population response to drugs via clinical knowledge graph☆29Updated last month
- ☆55Updated 4 years ago
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆26Updated 10 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 …☆33Updated last year
- CellBox: Interpretable Machine Learning for Perturbation Biology☆53Updated last year
- ☆56Updated 5 years ago
- PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development☆99Updated last year
- Gene expression time-series extrapolation for heterogeneous data☆17Updated 2 years ago