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Network information improves cancer outcome prediction.

, , , and . Briefings in Bioinformatics, 15 (4): 612-625 (2014)

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Using structural motif descriptors for sequence-based binding site prediction., , , and . BMC Bioinformatics, (2007)Google Goes Cancer: Improving Outcome Prediction for Cancer Patients by Network-Based Ranking of Marker Genes., , , , , , , , , and 11 other author(s). PLoS Computational Biology, (2012)Network information improves cancer outcome prediction., , , and . Briefings in Bioinformatics, 15 (4): 612-625 (2014)A Novel, Comprehensive Method to Detect and Predict Proteinprotein Interactions Applied to the Study of Vesicular Trafficking., , , and . German Conference on Bioinformatics, volume P-83 of LNI, page 129-140. GI, (2006)Cognitive Tools for Medical Knowledge Management., , , and . it - Information Technology, 48 (1): 33-43 (2006)The Many Faces of Protein-Protein Interactions: A Compendium of Interface Geometry., , , and . PLoS Computational Biology, (2006)Structural fragment clustering reveals novel structural and functional motifs in alpha-helical transmembrane proteins., , , , , , and . BMC Bioinformatics, (2010)Triangle network motifs predict complexes by complementing high-error interactomes with structural information., , , and . BMC Bioinformatics, (2009)MeMotif: a database of linear motifs in α-helical transmembrane proteins., , , , , , and . Nucleic Acids Research, 38 (Database-Issue): 181-189 (2010)SCOPPI: a structural classification of protein-protein interfaces., , , and . Nucleic Acids Research, 34 (Database-Issue): 310-314 (2006)