Datasets were obtained from UCSC Xena GDC Pan-Cancer (PANCAN) cohort:

• RNA matrix & ID/Gene Mapping matrix: here
• Phenotype matrix: here
• Survival matrix: here

• pip install streamlit -- For the UI of the application
• pip install pandas -- For data analysis
• pip install numpy -- For scientific computing
• pip install GSVA -- For the GSVA calculation
• pip install kaplanmeier -- For the creation of a Kaplan Meier plot
• pip install matplotlib -- For the output of the Kaplan Meier plot

Data was originally transformed from csv files to parquet files for faster overall application runtime. In addition to this, Streamlit's @st.cache_data decorator was used in order to cache the data after the first data read-in.

1. Open Terminal and navigate to project folder
2. Type streamlit run SurvivalAnalysisTool.py to open the streamlit app in the browser
3. Use preferred editing software to edit the file and see changes reflected in the streamlit app browser