Cancer Driver-Gene Prediction from Mutation Profiles

A tumour carries thousands of somatic mutations, but only a handful of genes drive the cancer. This project learns, from the mutation profiles of 10,000 tumours, which genes behave like cancer drivers: more mutations than the background predicts, recurrent hotspots (oncogenes) or truncating mutations (tumour suppressors), damaging and clonal changes, recurrence across cancer types - and their position in the protein-interaction network.

Category: Bioinformatics - Genomics and Sequence Analysis (Random Forest, Graph ML)

Bioinformatics Project B05 from ProTechSC Academy, with graphical abstract, video demonstration and project guidance.