@article{nielson_topological_2015, abstract = {Data-driven discovery in complex neurological disorders has potential to extract meaningful knowledge from large, heterogeneous datasets. Here the authors apply topological data analysis to assess therapeutic effects in preclinical traumatic brain injury and spinal cord injury research studies.}, author = {Nielson, Jessica L. and Paquette, Jesse and Liu, Aiwen W. and Guandique, Cristian F. and Tovar, C. Amy and Inoue, Tomoo and Irvine, Karen-Amanda and Gensel, John C. and Kloke, Jennifer and Petrossian, Tanya C. and Lum, Pek Y. and Carlsson, Gunnar E. and Manley, Geoffrey T. and Young, Wise and Beattie, Michael S. and Bresnahan, Jacqueline C. and Ferguson, Adam R.}, date = {2015-10-14}, doi = {10.1038/ncomms9581}, issn = {2041-1723}, journaltitle = {Nature Communications}, keywords = {1 - Brain injury, 1 - Medicine, 1 - Spinal cord injury, 2 - Mapper, 2 - Network, 3 - Cervical cancer, 3 - Neurotrauma}, langid = {english}, note = {Number: 1 Publisher: Nature Publishing Group}, number = {1}, pages = {1--12}, rights = {2015 The Author(s)}, shortjournal = {Nat Commun}, title = {Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury}, url = {https://www.nature.com/articles/ncomms9581}, urldate = {2020-06-01}, volume = {6} }