Integrated multiomics analysis to infer COVID-19 biological insights.
- DOI
- 10.1038/s41598-023-28816-5
- Published
- 2023 Jan 31
- Container
- Scientific reports
- 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:10.1038/s41598-023-28816-5,
title = {Integrated multiomics analysis to infer COVID-19 biological insights.},
author = {Sameh M and Khalaf HM and Anwar AM and Osama A and Ahmed EA and Mahgoub S and Ezzeldin S and Tanios A and Alfishawy M and Said AF and Mohamed MS and Sayed AA and Magdeldin S},
year = {2023},
journal = {Scientific reports},
doi = {10.1038/s41598-023-28816-5},
url = {https://doi.org/10.1038/s41598-023-28816-5}
}RIS
TY - JOUR TI - Integrated multiomics analysis to infer COVID-19 biological insights. AU - Sameh M AU - Khalaf HM AU - Anwar AM AU - Osama A AU - Ahmed EA AU - Mahgoub S AU - Ezzeldin S AU - Tanios A AU - Alfishawy M AU - Said AF AU - Mohamed MS AU - Sayed AA AU - Magdeldin S PY - 2023 JO - Scientific reports DO - 10.1038/s41598-023-28816-5 UR - https://doi.org/10.1038/s41598-023-28816-5 ER -
APA
M, S., HM, K., AM, A., A, O., EA, A., S, M., S, E., A, T., M, A., AF, S., MS, M., AA, S., & S, M. (2023). Integrated multiomics analysis to infer COVID-19 biological insights.. Scientific reports. https://doi.org/10.1038/s41598-023-28816-5
Source records
- pubmed · retrieved 2026-09-26T07:11:34.229Z