https://github.com/ddomingof/predictme

A web application for stratification of Alzheimer's and Parkinson's disease patients
https://github.com/ddomingof/predictme

bioinformatics patient-classification personalized-medicine stratification

Last synced: about 19 hours ago
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A web application for stratification of Alzheimer's and Parkinson's disease patients

• Host: GitHub
• URL: https://github.com/ddomingof/predictme
• Owner: ddomingof
• License: apache-2.0
• Created: 2019-11-14T14:32:50.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2022-06-22T00:59:07.000Z (over 2 years ago)
• Last Synced: 2023-08-13T20:22:32.514Z (over 1 year ago)
• Topics: bioinformatics, patient-classification, personalized-medicine, stratification
• Language: Jupyter Notebook
• Homepage:
• Size: 894 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        


  PredictMe



## Configuration

Configuration used to run the project:

- Python version: 3.7.4

- R version: 3.6.2 (https://cran.r-project.org/)

- rpy2 version: 3.1.0

### Setup R

1. Point to R in .bashrc (example)

```python

export R_HOME="/Library/Frameworks/R.framework/Resources"

```

2. Install R libraries required using the script located inside the R directory

```R

R < R/install_R_libraries.R --no-save  

```

## Run PredictMe

- Install Python requirements

``python3 -m pip install -r requirements.txt``

**Note that you might have to run "python" instead of "python3" in your computer.

The only reason why I use python3 is to ensure I use the python3 version and not

the python3 one.**

- Run locally

``python3 manage.py runserver`` (Run locally the web application on http://127.0.0.1:8000/)