We use a semisupervised learning algorithm based on a topological data analysis approach to assign functional categories to yeast proteins using similarity graphs. This new approach to analyzing biological networks yields results that are as good as or better than state of the art existing approaches.
@article{arxiv.1408.5634,
title = {An application of topological graph clustering to protein function prediction},
author = {R. Sean Bowman and Douglas Heisterkamp and Jesse Johnson and Danielle O'Donnol},
journal= {arXiv preprint arXiv:1408.5634},
year = {2014}
}