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
- 2024 Feb 16
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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 = {Kole A and Bag AK and Pal AJ and De D},
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 - Kole A AU - Bag AK AU - Pal AJ AU - De D PY - 2024 JO - BMC bioinformatics DO - 10.1186/s12859-024-05690-0 UR - https://doi.org/10.1186/s12859-024-05690-0 ER -
APA
A, K., AK, B., AJ, P., & D, 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
- pubmed · retrieved 2026-11-10T12:34:42.325Z