Journal
Network Neuroscience
Publication Date
10-1-2024
Volume
8
Issue
3
First Page
762
Last Page
790
Document Type
Open Access Publication
DOI
10.1162/netn_a_00383
Rights and Permissions
Li J, Segel A, Feng X, Tu JC, Eck A, King KT, Adeyemo B, Karcher NR, Chen L, Eggebrecht AT, Wheelock MD. Network-level enrichment provides a framework for biological interpretation of machine learning results. Netw Neurosci. 2024 Oct 1;8(3):762-790. doi: 10.1162/netn_a_00383. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
Recommended Citation
Li, Jiaqi; Segel, Ari; Feng, Xinyang; Tu, Jiaxin Cindy; Eck, Andy; King, Kelsey T; Adeyemo, Babatunde; Karcher, Nicole R; Chen, Likai; Eggebrecht, Adam T; and Wheelock, Muriah D, "Network-level enrichment provides a framework for biological interpretation of machine learning results." Network Neuroscience. 8, 3. 762 - 790. (2024).
https://digitalcommons.wustl.edu/oa_4/4466
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
