An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis
- DOI
- 10.1007/s41109-022-00527-2
- Published
- 2023-01-24
- Container
- Applied Network Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s41109-022-00527-2,
title = {An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis},
author = {Peter Juma Ochieng and Abrar Hussain and József Dombi and Miklós Krész},
year = {2023},
journal = {Applied Network Science},
doi = {10.1007/s41109-022-00527-2},
url = {https://doi.org/10.1007/s41109-022-00527-2}
}RIS
TY - JOUR TI - An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis AU - Peter Juma Ochieng AU - Abrar Hussain AU - József Dombi AU - Miklós Krész PY - 2023 JO - Applied Network Science DO - 10.1007/s41109-022-00527-2 UR - https://doi.org/10.1007/s41109-022-00527-2 ER -
APA
Ochieng, P. J., Hussain, A., Dombi, J., & Krész, M. (2023). An efficient weighted network centrality approach for exploring mechanisms of action of the Ruellia herbal formula for treating rheumatoid arthritis. Applied Network Science. https://doi.org/10.1007/s41109-022-00527-2
Source records
- crossref · retrieved 2026-11-10T16:31:29.815Z