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Identification of Transcriptome Biomarkers for Severe COVID-19 with Machine Learning Methods.
Li X, Zhou X, Ding S, Chen L, Feng K, Li H, Huang T, Cai YD. Li X, et al. Biomolecules. 2022 Nov 23;12(12):1735. doi: 10.3390/biom12121735. Biomolecules. 2022. PMID: 36551164 Free PMC article.
Our findings imply that genes including UBE2C, PCLAF, CDK1, CCNB1, MND1, APOBEC3G, TRAF3IP3, CD48, and GZMA play key roles in defining the different states and severity of COVID-19. ...
Our findings imply that genes including UBE2C, PCLAF, CDK1, CCNB1, MND1, APOBEC3G, TRAF3IP3, CD48, and GZMA play key roles in definin …
Identifying COVID-19 Severity-Related SARS-CoV-2 Mutation Using a Machine Learning Method.
Huang F, Chen L, Guo W, Zhou X, Feng K, Huang T, Cai Y. Huang F, et al. Life (Basel). 2022 May 28;12(6):806. doi: 10.3390/life12060806. Life (Basel). 2022. PMID: 35743837 Free PMC article.
Meanwhile, four sets of quantitative rules were set up, which can help us to more intuitively understand the role of each mutation in differentiating the clinical status of COVID-19 patients. Identified key mutations linked to virologic properties will help better understa …
Meanwhile, four sets of quantitative rules were set up, which can help us to more intuitively understand the role of each mutation in differ …
19 results