Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology
- DOI
- 10.1186/s12859-024-05690-0
- Published
- 2
- Container
- BMC Bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-024-05690-0,
title = {Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology},
author = {Arnab Kole and Arup Kumar Bag and Anindya Jyoti Pal and Debashis De},
year = {2024},
journal = {BMC Bioinformatics},
doi = {10.1186/s12859-024-05690-0},
url = {https://doi.org/10.1186/s12859-024-05690-0}
}RIS
TY - JOUR TI - Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology AU - Arnab Kole AU - Arup Kumar Bag AU - Anindya Jyoti Pal AU - Debashis De PY - 2024 JO - BMC Bioinformatics DO - 10.1186/s12859-024-05690-0 UR - https://doi.org/10.1186/s12859-024-05690-0 ER -
APA
Kole, A., Bag, A. K., Pal, A. J., & De, D. (2024). Generic model to unravel the deeper insights of viral infections: an empirical application of evolutionary graph coloring in computational network biology. BMC Bioinformatics. https://doi.org/10.1186/s12859-024-05690-0
Source records
- doaj · retrieved 2026-09-25T17:24:29.114Z