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Cited by in F6Publishing
For: Vahabi N, Michailidis G. Unsupervised Multi-Omics Data Integration Methods: A Comprehensive Review. Front Genet 2022;13:854752. [PMID: 35391796 DOI: 10.3389/fgene.2022.854752] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Freiesleben S, Unverricht-yeboah M, Gütebier L, Waltemath D, Kriehuber R, Wolkenhauer O. A workflow for the creation of regulatory networks integrating miRNAs and lncRNAs associated with exposure to ionizing radiation using open source data and tools. Front Syst Biol 2022;2. [DOI: 10.3389/fsysb.2022.928159] [Reference Citation Analysis]
2 Kondratyeva L, Alekseenko I, Chernov I, Sverdlov E. Data Incompleteness May form a Hard-to-Overcome Barrier to Decoding Life’s Mechanism. Biology 2022;11:1208. [DOI: 10.3390/biology11081208] [Reference Citation Analysis]
3 Lauer GM. Omics studies in gastroenterological and hepatological patient populations: current impact and future promise exemplified by a large study of HCV-infected livers. Gut 2022:gutjnl-2022-327761. [PMID: 35914921 DOI: 10.1136/gutjnl-2022-327761] [Reference Citation Analysis]
4 Cong Y, Endo T. Multi-Omics and Artificial Intelligence-Guided Drug Repositioning: Prospects, Challenges, and Lessons Learned from COVID-19. OMICS: A Journal of Integrative Biology 2022;26:361-371. [DOI: 10.1089/omi.2022.0068] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Iuliano A, Occhipinti A. Environmental measurements and genetic effects for cancer survival integration data. 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn) 2022. [DOI: 10.1109/metrolivenv54405.2022.9826909] [Reference Citation Analysis]