Mining protein networks for synthetic genetic interactions1Keck Graduate Institute of Applied Life Sciences, 535 Watson Drive, Claremont, CA 91711, USA 2Virtual Endoscopy and Computer-Aided Diagnosis Laboratory, Department of Radiology, National Institutes of Health Clinical Center, Bethesda, MD 20892-1182, USA 3School of Mathematical Sciences, Claremont Graduate University, 710 N. College Avenue, Claremont, CA 91711, USA
BMC Bioinformatics 2008, 9:426doi:10.1186/1471-2105-9-426
Additional filesAdditional 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. Format: PDF Size: 8.3MB Download file This file can be viewed with: Adobe Acrobat Reader |




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