Methodology article
Integration of relational and hierarchical network information for protein function prediction
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* Corresponding author: Eric D Kolaczyk kolaczyk@math.bu.edu
1 Department of Mathematics and Statistics, Boston University, Boston, MA 02215, USA
2 Bioinformatics Program, Boston University, Boston MA, 02215, USA
3 Department of Genetics and Genomics, Boston University, Boston MA, 02118, USA
4 Department of Biomedical Engineering, Boston University, Boston MA, 02215, USA
BMC Bioinformatics 2008, 9:350 doi:10.1186/1471-2105-9-350
Published: 22 August 2008Additional files
Additional 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
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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