Towards a more molecular taxonomy of disease.

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: Disease taxonomies have been designed for many applications, but they tend not to fully incorporate the growing amount of molecular-level knowledge of disease processes, inhibiting research efforts. Understanding the degree to which we can infer disease relationships from molecular data alone may yield insights into how to ultimately construct more modern taxonomies that integrate both physiological and molecular information.

Authors

  • Jisoo Park
    Department of Computer Science, Tufts University, 161 College Avenue, Medford, 02155, MA, USA. jisoo.park@tufts.edu.
  • Benjamin J Hescott
    Department of Computer Science, Tufts University, 161 College Avenue, Medford, 02155, MA, USA.
  • Donna K Slonim
    Department of Computer Science, Tufts University, 161 College Avenue, Medford, 02155, MA, USA.