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Multi-omics personalized network analyses highlight progressive disruption of central metabolism associated with COVID-19 severity
The clinical outcome and disease severity in coronavirus disease 2019 (COVID-19) are heterogeneous, and the progression or fatality of the disease cannot be explained by a single factor like age or comorbidities. In this study, we used system-wide network-based system biology analysis using whole bl...
Autores principales: | Ambikan, Anoop T., Yang, Hong, Krishnan, Shuba, Svensson Akusjärvi, Sara, Gupta, Soham, Lourda, Magda, Sperk, Maike, Arif, Muhammad, Zhang, Cheng, Nordqvist, Hampus, Ponnan, Sivasankaran Munusamy, Sönnerborg, Anders, Treutiger, Carl Johan, O’Mahony, Liam, Mardinoglu, Adil, Benfeitas, Rui, Neogi, Ujjwal |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263811/ https://www.ncbi.nlm.nih.gov/pubmed/35933992 http://dx.doi.org/10.1016/j.cels.2022.06.006 |
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