The RT-MLPA assay as a simple molecular tool for diagnosis and classification of rejection in FFPE kidney transplant biopsies.
The fitted classifiers & standard scalers were pickled and are available in the models/
folder. Two models are available : one with DSA input & one without.
Create a fresh python venv and install dependencies
python -m venv env
source ./env/bin/activate
pip install -r requirements.txt
Start the Flask server with hot-reload
# run the flask server on http://127.0.0.1:5000
flask run
The front-end react app is bundled via parcel. Files will be built in the parent /api/static/js
folder
cd web
yarn run watch # hot reload
yarn run build # build files
# run the app locally
heroku local web
# deploy to kidney-transplant-classifier.herokuapp.com/
git push heroku master