Integrated network-based multiple computational analyses for identification of co-expressed candidate genes associated with neurological manifestations of COVID-19
- DOI
- 10.1038/s41598-022-21109-3
- Published
- 2022-10-13
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-022-21109-3,
title = {Integrated network-based multiple computational analyses for identification of co-expressed candidate genes associated with neurological manifestations of COVID-19},
author = {Suvojit Hazra and Alok Ghosh Chaudhuri and Basant K. Tiwary and Nilkanta Chakrabarti},
year = {2022},
journal = {Scientific Reports},
doi = {10.1038/s41598-022-21109-3},
url = {https://doi.org/10.1038/s41598-022-21109-3}
}RIS
TY - JOUR TI - Integrated network-based multiple computational analyses for identification of co-expressed candidate genes associated with neurological manifestations of COVID-19 AU - Suvojit Hazra AU - Alok Ghosh Chaudhuri AU - Basant K. Tiwary AU - Nilkanta Chakrabarti PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-21109-3 UR - https://doi.org/10.1038/s41598-022-21109-3 ER -
APA
Hazra, S., Chaudhuri, A. G., Tiwary, B. K., & Chakrabarti, N. (2022). Integrated network-based multiple computational analyses for identification of co-expressed candidate genes associated with neurological manifestations of COVID-19. Scientific Reports. https://doi.org/10.1038/s41598-022-21109-3
Source records
- crossref · retrieved 2026-11-10T14:37:14.652Z