cdata_utils

This repository contains the python code which as used to clean, preprocess and analyze clinical data of patients suffering from Porto-Sinusoidal Vascular Disorder (PSVD). The analysis of the PSVD data (related to reference ...) was done with this version of the code.

Note: Since the patient data is confidential, we show here only the scripts and jupyter notebooks which were used to analyze the data. The data itself is not available.

Installation with conda:

The majority of the code is in the python package cdata_utils. If you use a package mananger, like anaconda you might want to use the following commands.

# make new env: 
conda create --name py3-10-cdata_utils -c conda-forge python=3.10
conda activate py3-10-cdata_utils

# After that the other requirements should be handeled by the `pyproject.toml`
pip install -e . 

More notes on the environemnt:

We also provide a frozen environment, which can be used to recreate the environment exactly in the form we used to analyze the data. See ./env/environment.yml.

It was created with:

conda env export -n py3-10-cdata_utils > ./env/environment.yml

And could be used to recreate the environment with

conda env create -f ./env/environment.yml