@article{Qi01122008,
author = {Qi, Yan and Suhail, Yasir and Lin, Yu-yi and Boeke, Jef D. and Bader, Joel S.}, 
title = {Finding friends and enemies in an enemies-only network: A graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions},
volume = {18}, 
number = {12}, 
pages = {1991-2004}, 
year = {2008}, 
doi = {10.1101/gr.077693.108}, 
abstract ={The yeast synthetic lethal genetic interaction network contains rich information about underlying pathways and protein complexes as well as new genetic interactions yet to be discovered. We have developed a graph diffusion kernel as a unified framework for inferring complex/pathway membership analogous to “friends” and genetic interactions analogous to “enemies” from the genetic interaction network. When applied to the Saccharomyces cerevisiae synthetic lethal genetic interaction network, we can achieve a precision around 50% with 20% to 50% recall in the genome-wide prediction of new genetic interactions, supported by experimental validation. The kernels show significant improvement over previous best methods for predicting genetic interactions and protein co-complex membership from genetic interaction data.}, 
URL = {http://genome.cshlp.org/content/18/12/1991.abstract}, 
eprint = {http://genome.cshlp.org/content/18/12/1991.full.pdf+html}, 
journal = {Genome Research} 
}