Deciphering Gene Patterns Through Gene Selection Using SARS-CoV Microarray Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-59711-4_8
Reference15 articles.
1. Yang, Y., et al.: The deadly coronaviruses: the 2003 SARS pandemic and the 2020 novel coronavirus epidemic in China. J. Autoimmun. 109, 102434 (2020)
2. Zheng, H., et al.: Longitudinal analyses reveal distinct immune response landscapes in lung and intestinal tissues from SARS-CoV-2-infected rhesus macaques. Cell Reports 39(8), 1–22 (2022)
3. Ahmed, F.F., et al.: Identification of host transcriptome-guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated bioinformatics approaches. PLoS ONE 17(4), e0266124 (2022)
4. Zhou, P., et al.: A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579(7798), 270–273 (2020)
5. Othman, M.S., Kumaran, S.R., Yusuf, L.M.: Gene selection using hybrid multi-objective cuckoo search algorithm with evolutionary operators for cancer microarray data. IEEE Access 8, 186348–186361 (2020)
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