Biomarker and Drug Discovery for Gastroenterology Through Translational Bioinformatics  Joel T. Dudley, Atul J. Butte  Gastroenterology  Volume 139, Issue 3, Pages 735-741.e1 (September 2010) DOI: 10.1053/j.gastro.2010.07.024 Copyright © 2010 AGA Institute Terms and Conditions

Figure 1 A conceptualization of the hypothesis space enabled by integrative systems medicine. Using publicly available data, it becomes possible to investigate a single disease simultaneously across many different molecular and clinical modalities (rows) and to simultaneously investigate many diseases from a single modality (columns). Gastroenterology 2010 139, 735-741.e1DOI: (10.1053/j.gastro.2010.07.024) Copyright © 2010 AGA Institute Terms and Conditions

Figure 2 A schematic representation of a data-driven approach for exploring systems of disease relationships. Novel translational hypotheses are enabled through systematic evaluation of differences and similarities between diseases and disease groups. Gastroenterology 2010 139, 735-741.e1DOI: (10.1053/j.gastro.2010.07.024) Copyright © 2010 AGA Institute Terms and Conditions

Figure 3 A network-based genomic nosology of molecular disease relationships defined by shared functional gene modules. The molecular relationships reveal that Crohn's disease is most similar to the infectious disease Malaria. Reprinted with permission from Suthram et al.6 Gastroenterology 2010 139, 735-741.e1DOI: (10.1053/j.gastro.2010.07.024) Copyright © 2010 AGA Institute Terms and Conditions