Role-similarity based functional prediction in networked systems: Application to the yeast proteome
Molecular Networks
2007-05-23 v1 Other Condensed Matter
Other Quantitative Biology
Abstract
We propose a general method to predict functions of vertices where: 1. The wiring of the network is somehow related to the vertex functionality. 2. A fraction of the vertices are functionally classified. The method is influenced by role-similarity measures of social network analysis. The two versions of our prediction scheme is tested on model networks were the functions of the vertices are designed to match their network surroundings. We also apply these methods to the proteome of the yeast Saccharomyces cerevisiae and find the results compatible with more specialized methods.
Keywords
Cite
@article{arxiv.q-bio/0503010,
title = {Role-similarity based functional prediction in networked systems: Application to the yeast proteome},
author = {Petter Holme and Mikael Huss},
journal= {arXiv preprint arXiv:q-bio/0503010},
year = {2007}
}