Journal
PLoS Computational Biology
Publication Date
1-1-2024
Volume
20
Issue
1
First Page
e1011785
Document Type
Open Access Publication
DOI
10.1371/journal.pcbi.1011785
Rights and Permissions
Feng J, Goedegebuure SP, Zeng A, Bi Y, Wang T, Payne P, Ding L, DeNardo D, Hawkins W, Fields RC, Li F. sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data. PLoS Comput Biol. 2024 Jan 5;20(1):e1011785. doi: 10.1371/journal.pcbi.1011785. © 2024 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Recommended Citation
Feng, Jiarui; Goedegebuure, S. Peter; Zeng, Amanda; Bi, Ye; Wang, Ting; Payne, Philip; Ding, Li; DeNardo, David; Hawkins, William; Fields, Ryan C.; and Li, Fuhai, "sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data." PLoS Computational Biology. 20, 1. e1011785 (2024).
https://digitalcommons.wustl.edu/oa_4/3025
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
