ddomingof/predictme

A web application for stratification of Alzheimer's and Parkinson's disease patients

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)

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

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

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/)

predictme's Issues

todos

Check id and show message to the user
Tutorial rs id with

check with pandas that the matrix has only 0,1,2 in there

input -> autoencoder -> lasso classifier

column #1 patient - probability for each cluster (4columns)