Skip to content

Latest commit

 

History

History
29 lines (15 loc) · 1.47 KB

README.md

File metadata and controls

29 lines (15 loc) · 1.47 KB

Digital Epidemiology and Precision Medicine -- Final Project

This is a Github repository created to submit the final project of the Digital Epidemiology and Precision Medicine course for the MSc. in Data Science at the Sapienza University of Rome.

What's inside this repository?

  1. README.md: A markdown file that explains the content of the repository.

  2. script/: A folder including 4 R scripts used to perform the analysis for the report. The files included are:

    • deg_data_preprocessing.R: An R script to preprocess TGCA data in order to obtain the Differentially Expressed Genes (DEGs).

    • co_exp_net.R: An R script to obtain gene co-expression networks and differential co-expression networks for cancerous and healthy samples. The objective was to characterize hubs and scale-free behavior.

    • ps_net.R: An R script to obtain patient similarity networks with gene expression and mutational profiles and perform PSN and Survival Analysis to characterize clusters of patients.

    • enrichment_analysis.py: An R script to perform Gene Set Enrichment Analysis to the hub genes found in previous analysis.

  3. data/: A folder containing intermediate data used for running the scripts above.

  4. figures/: A folder containing the figures obtained given the analysis.

  5. .gitignore: A predetermined .gitignore file that tells Git which files or folders to ignore in an R project.

  6. LICENSE: A file containing an MIT permissive license.