Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19

Standard transcriptomic analyses alone have limited power in capturing the molecular mechanisms driving disease pathophysiology and outcomes. To overcome this, unsupervised network analyses are used to identify clusters of genes that can be associated with distinct molecular mechanisms and outcomes...

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Detalles Bibliográficos
Autores principales: Ghandikota, Sudhir, Sharma, Mihika, Jegga, Anil G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020120/
https://www.ncbi.nlm.nih.gov/pubmed/33842903
http://dx.doi.org/10.1016/j.patter.2021.100247

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020120/
https://www.ncbi.nlm.nih.gov/pubmed/33842903
http://dx.doi.org/10.1016/j.patter.2021.100247

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