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A newer version of the Streamlit SDK is available:
1.35.0
title: PhenoGenius
emoji: genie
sdk: streamlit
sdk_version: 1.25.0
app_file: phenogenius_app.py
python_version: 3.8
pinned: true
PhenoGenius
Symptom interaction modeling for precision medicine
Overview
Symptom interaction model provide a method to standardize clinical descriptions and fully exploit phenotypic data in precision medicine.
This repository contains scripts and files to use PhenoGenius, the phenotype matching system for genetic disease based on this model. Please try PhenoGenius in the cloud at https://huggingface.co/spaces/kyauy/PhenoGenius.
If you use PhenoGenius, please cite:
Yauy et al., Learning phenotypic patterns in genetic disease by symptom interaction modeling. medrXiv (2023). https://doi.org/10.1101/2022.07.29.22278181
Install
- Requirements
python == 3.8 #(pyenv install 3.8)
poetry #(https://python-poetry.org/docs/#installation)
- Install dependencies
poetry install
Use streamlit webapp in your desktop
Run
poetry shell
streamlit run phenogenius_app.py
Use command-line client
Run
poetry shell
python phenogenius_cli.py --hpo_list HP:0000107,HP:0000108,HP:0001407,HP:0005562 --result_file PKD1.tsv
Usage: phenogenius_cli.py [OPTIONS]
Options:
--result_file TEXT Output file name, default = match.tsv
--hpo_list TEXT (Mandatory) List of HPO terms to match, separated with
commas
--gene_list TEXT (Optional) List of genes in NCBI ID format to match,
separated with commas
Explore interactive graphs of symptoms interactions
Human Phenotype Ontology
Groups of interacting symptoms
Enjoy !
License
PhenoGenius is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
Misc
PhenoGenius is a collaboration of :