RT Journal
A1 Qi, Yan
A1 Suhail, Yasir
A1 Lin, Yu-yi
A1 Boeke, Jef D.
A1 Bader, Joel S.
T1 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
JF Genome Research 
JO Genome Research 
YR 2008 
FD December 01 
VO 18 
IS 12 
SP 1991 
OP 2004 
DO 10.1101/gr.077693.108 
UL http://genome.cshlp.org/content/18/12/1991.abstract 
AB 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.