Journal
iScience
Publication Date
3-21-2025
Volume
28
Issue
3
First Page
111920
Document Type
Open Access Publication
DOI
10.1016/j.isci.2025.111920
Rights and Permissions
Zhang H, Goedegebuure SP, Ding L, DeNardo D, Fields RC, Province M, Chen Y, Payne P, Li F. M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis. iScience. 2025 Feb 6;28(3):111920. doi: 10.1016/j.isci.2025.111920. Copyright 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Recommended Citation
Zhang, Heming; Goedegebuure, S Peter; Ding, Li; DeNardo, David; Fields, Ryan C; Province, Michael; Chen, Yixin; Payne, Philip; and Li, Fuhai, "M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis." iScience. 28, 3. 111920 (2025).
https://digitalcommons.wustl.edu/oa_4/5344
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
