Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury
Jessica L. Nielson, Jesse Paquette, Aiwen W. Liu et al.
2015 · Nature Communications · 215 citations
Data-driven discovery in complex neurological disorders has potential to extract meaningful syndromic knowledge from large, heterogeneous data sets to enhance potential for precision medicine. Here we describe the application of topological data analysis (TDA) for data-driven discovery in preclinical traumatic brain injury (TBI) and spinal cord injury (SCI) data sets mined from the Visualized Syndromic Information and Outcomes for Neurotrauma-SCI (VISION-SCI) repository. Through direct visualization of inter-related histopathological, functional and health outcomes, TDA detected novel pattern…
Explore this paper's citation graph on Constellation.