ruoqi-liu / DeepIPWLinks
Code for paper "A deep learning framework for drug repurposing via emulating clinical trials on real world patient data" (Accepted to Nature Machine Intelligence).
☆96Updated 3 years ago
Alternatives and similar repositories for DeepIPW
Users that are interested in DeepIPW are comparing it to the libraries listed below
Sorting:
- ☆67Updated last year
- benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, p…☆123Updated 11 months ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 4 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆110Updated 3 years ago
- Cancer Drug Response prediction using a Recommender System☆42Updated last year
- MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction☆55Updated 4 years ago
- Gene2Vec: Distributed Representation of Genes Based on Co-Expression☆119Updated 3 years ago
- ☆57Updated 5 years ago
- ☆64Updated 5 years ago
- Drug Response Variational Autoencoder☆30Updated 6 years ago
- ☆10Updated 4 years ago
- SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases☆56Updated 9 months ago
- Network-based project to explore gene connectivity through biological scales☆23Updated 8 months ago
- ☆33Updated 2 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 5 years ago
- ☆23Updated 8 years ago
- Framework for Interpretable Neural Networks☆105Updated 3 months ago
- Disease subnetwork detection with explainable Graph Neural Networks☆23Updated last year
- ☆55Updated 4 years ago
- Phe2vec: Automated Disease Phenotyping based on Unsupervised Embeddings from Electronic Health Records☆24Updated 4 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆84Updated 2 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆152Updated 3 years ago
- ☆62Updated 3 years ago
- source codes based on PyTorch to analyze EHR☆140Updated last year
- Few shot learning for cancer☆36Updated 3 years ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 4 years ago
- ClinVec: Unified Embeddings of Clinical Codes Enable Knowledge-Grounded AI in Medicine☆59Updated last month
- Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…☆16Updated 5 years ago
- PlaNet: Predicting population response to drugs via clinical knowledge graph☆29Updated 3 months ago