Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub / futianfan / clinical-trial-outcome-prediction

benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/futianfan%2Fclinical-trial-outcome-prediction

Stars: 84
Forks: 21
Open Issues: 3

License: None
Language: Python
Repo Size: 102 MB
Dependencies: pending

Created: over 3 years ago
Updated: about 2 months ago
Last pushed: 10 months ago
Last synced: about 1 month ago

Topics: benchmark, benchmark-datasets, clinical-data, clinical-research, clinical-research-data-warehouse, clinical-trials, dataset, dataset-generation, deep-learning, drug-design, drug-development, graph-neural-networks, life-sciences, machine-learning, therapeutics

Files
    Loading...
    Readme
    Loading...