  Methodology articleIntegration of relational and hierarchical network information for protein function predictionXiaoyu Jiang1 1Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA 2Bioinformatics Program, Boston University, Boston MA, 02215, USA 3Department of Genetics and Genomics, Boston University, Boston MA, 02118, USA 4Department of Biomedical Engineering, Boston University, Boston MA, 02215, USA
BMC Bioinformatics 2008, 9:350doi:10.1186/1471-2105-9-350
Additional filesAdditional file 1: ROC curves and hF plots for 47 sub-hierarchies in cross-validation study. This file contains the ROC curves and plots of hF score versus predicting threshold of the three methods for 47 individual sub-hierarchies in the 5-fold cross-validation study. The root term ID's and names of the root terms, the sizes of sub-hierarchies, numbers of terms and genes predicted within sub-hierarchy are also shown. Colors: HBN (red); BN (light blue); NN (blue). Format: PDF Size: 3.3MB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 2: hF plots for 17 sub-hierarchies in in silico study. This file contains the plots of hF score versus threshold of the three methods for individual sub-hierarchies in the in silico validation study. The root term ID's and names of the root terms, the sizes of sub-hierarchies, numbers of terms and genes predicted within sub-hierarchy are also shown. Colors: HBN (red); BN (light blue); NN (blue). Format: PDF Size: 411KB Download file This file can be viewed with: Adobe Acrobat Reader |
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