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

De Silva, K., Demmer, R. T., Jönsson, D., Mousa, A., Forbes, A., & Enticott, J. (2022). A data-driven biocomputing pipeline with meta-analysis on high throughput transcriptomics to identify genome-wide miRNA markers associated with type 2 diabetes. Heliyon, 8(2), e08886. https://doi.org/10.1016/j.heliyon.2022.e08886
Authors:
Kushan De Silva
Ryan T Demmer
Daniel Jönsson
Aya Mousa
Andrew Forbes
Joanne Enticott
Affiliated Authors:
Ryan T Demmer
Author Keywords:
biomarkers
differential expression
high throughput transcriptomics
meta-analysis
micro-rnas
type 2 diabetes
Publication Type:
Article
Unique ID:
10.1016/j.heliyon.2022.e08886
PMID:
Journal:
Publication Date:
Data Source:
PubMed

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