TY  - JOUR
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
Y1  - 2008/12/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1991 
EP  - 2004 
DO  - 10.1101/gr.077693.108 
VL  - 18 
IS  - 12 
UR  - http://genome.cshlp.org/content/18/12/1991.abstract 
N2  - 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. 
ER  -