A data-driven biocomputing pipeline with meta-analysis on high throughput transcriptomics to identify genome-wide miRNA markers associated with type 2 diabetes

BACKGROUND: MicroRNAs (miRNAs) are sought-after biomarkers of complex, polygenic diseases such as type 2 diabetes (T2D). Data-driven biocomputing provides robust and novel avenues for synthesizing evidence from individual miRNA seq studies. OBJECTIVE: To identify miRNA markers associated with T2D, v...

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Detalles Bibliográficos
Autores principales: De Silva, Kushan, Demmer, Ryan T., Jönsson, Daniel, Mousa, Aya, Forbes, Andrew, Enticott, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829580/
https://www.ncbi.nlm.nih.gov/pubmed/35169647
http://dx.doi.org/10.1016/j.heliyon.2022.e08886

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829580/
https://www.ncbi.nlm.nih.gov/pubmed/35169647
http://dx.doi.org/10.1016/j.heliyon.2022.e08886

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