Machine Learning Parkinson's Disease Database

There is a need for an up-to-date database with genes identified in machine-learning studies. This repository is in progress.

Steps Needed

1. Set up an Amazon RDS instance

2. Design your database schema: One table for the genes themselves and another for the studies where they were associated with Parkinson's disease. Other information that may be included:

-gene identifier, the associated study, association details (e.g. effect size, p-value, or any other measure of statistical significance), gene description, protein information, and variants.

5. Create a Web Application: Python (Flask or Django) maybe JavaScript (Node.js).

6. Implement a Search Feature.

7. Host the Web Application on Amazon EC2.

8. Connect Web Application to the RDS Instance: use the AWS SDK library to connect to your RDS instance.

9. Use Amazon Route 53 to set up a domain or request university permission.