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For: Samy A, Maher MA, Abdelsalam NA, Badr E. SARS-CoV-2 potential drugs, drug targets, and biomarkers: a viral-host interaction network-based analysis. Sci Rep 2022;12:11934. [PMID: 35831333 DOI: 10.1038/s41598-022-15898-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Daamen AR, Bachali P, Grammer AC, Lipsky PE. Classification of COVID-19 Patients into Clinically Relevant Subsets by a Novel Machine Learning Pipeline Using Transcriptomic Features. Int J Mol Sci 2023;24. [PMID: 36902333 DOI: 10.3390/ijms24054905] [Reference Citation Analysis]
2 Periwal N, Bhardwaj U, Sarma S, Arora P, Sood V. In silico analysis of SARS-CoV-2 genomes: Insights from SARS encoded non-coding RNAs. Front Cell Infect Microbiol 2022;12:966870. [PMID: 36519126 DOI: 10.3389/fcimb.2022.966870] [Reference Citation Analysis]
3 Arriaga-canon C, Contreras-espinosa L, Rebollar-vega R, Montiel-manríquez R, Cedro-tanda A, García-gordillo JA, Álvarez-gómez RM, Jiménez-trejo F, Castro-hernández C, Herrera LA. Transcriptomics and RNA-Based Therapeutics as Potential Approaches to Manage SARS-CoV-2 Infection. IJMS 2022;23:11058. [DOI: 10.3390/ijms231911058] [Reference Citation Analysis]