Informatics and data mining tools and strategies for the Human Connectome Project

Authors

Daniel S. Marcus, Washington University School of Medicine in St. Louis
John Harwell, Washington University School of Medicine in St. Louis
Timothy Olsen, Washington University School of Medicine in St. Louis
Michael Hodge, Washington University School of Medicine in St. Louis
Matthew F. Glasser, Washington University School of Medicine in St. LouisFollow
Fred Prior, Washington University School of Medicine in St. Louis
Mark Jenkinson, University of Oxford, John Radcliffe Hospital, Oxford, UK
Timothy Laumann, Washington University School of Medicine in St. Louis
Sandra W. Curtiss, Washington University School of Medicine in St. Louis
David C. Van Essen, Washington University School of Medicine in St. Louis

Journal

Frontiers in Neuroinformatics

Publication Date

6-2011

Volume

5

Issue

4

Inclusive Pages

1-12

Document Type

Open Access Publication

DOI

10.3389/fninf.2011.00004

Rights and Permissions

Marcus DS, Harwell J, Olsen T, Hodge M, Glasser MF, Prior F, Jenkinson M, Laumann T, Curtiss SW and Van Essen DC (2011) Informatics and data mining tools and strategies for the Human Connectome Project. Front. Neuroinform. 5:4. doi: 10.3389/fninf.2011.00004

Recommended Citation

Marcus, Daniel S.; Harwell, John; Olsen, Timothy; Hodge, Michael; Glasser, Matthew F.; Prior, Fred; Jenkinson, Mark; Laumann, Timothy; Curtiss, Sandra W.; and Van Essen, David C., "Informatics and data mining tools and strategies for the Human Connectome Project." Frontiers in Neuroinformatics. 5, 4. 1-12. (2011).
https://digitalcommons.wustl.edu/open_access_pubs/489