In this repository, I made an analysis over the differentially expressed genes, i.e. the genes whose expressions change significantly passing from a normal to a tumor condition.
In particular, here there are the 3 tasks:
- Step 1:
Compute co-expression network using Fold-Change values;
- Step 2:
Compare hubs sets related to the use of different centrality measures;
- Step 3:
Only considering degree index, are the hubs up or down regulated?
- lab_DE.ipynb:
a notebook with the code.
- THCA_GeneExpressionData.xlsx:
excel file with our data;
- betweenness_centrality.txt:
txt file generated by the code, with computed centrality measures.