Traversing TCGA is an ongoing series of blog posts in which I access data from The Cancer Genome Atlas (TCGA) and find useful trends using python.
- Downloading the Data
- Making Sense of the Data Files
- Trying to Find Trends in the Data
- Storing Data in PostgreSQL
- Building a Predictive Model
- Implementing an Interactive Web Application
A Github repository with project code is here.