Research article
Mining protein networks for synthetic genetic interactions
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* Corresponding author: Alpan Raval araval@kgi.edu
1 Keck Graduate Institute of Applied Life Sciences, 535 Watson Drive, Claremont, CA 91711, USA
2 Virtual Endoscopy and Computer-Aided Diagnosis Laboratory, Department of Radiology, National Institutes of Health Clinical Center, Bethesda, MD 20892-1182, USA
3 School of Mathematical Sciences, Claremont Graduate University, 710 N. College Avenue, Claremont, CA 91711, USA
BMC Bioinformatics 2008, 9:426 doi:10.1186/1471-2105-9-426
Published: 9 October 2008Additional files
Additional file 1:
Supplementary Information. This file contains analysis of the performance of our SSL prediction method as compared to the method used in [21]. It also contains novel SSLs predicted by our method at different threshold levels.
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