Detecting and Visualising Clusterings Interaction Networks (And a few other cool things like Facebook)

For my submission to HackCambridge I wanted to spend my 24 hours learning something new in accordance with my interests. I was recently introduced to protein interaction networks in my Bioinfomartics class, and during my review of machine learning techniques for an exam noticed that we study many supervised methods, but no unsupervised methods other than the k means clustering. Thus I decided to combine the two interests by clustering the Protein interaction networks with unsupervised clustering techniques and communicate my learning, results, and visualisations using the Beaker notebook. The study of protein-protein interactions (PPIs) determined by high-throughput experimental techniques has created karge sets of interaction data and a new need for methods allowing us to discover new information about biological function. These interactions can be thought of as a large-scale network, with nodes representing proteins and edges signifying an interaction between two proteins.