A data-driven biocomputing pipeline with meta-analysis on high throughput transcriptomics to identify genome-wide miRNA markers associated with type 2 diabetes-Reference-Cited by-同舟云学术

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

Published:2022-02 Issue:2 Volume:8 Page:e08886
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

De Silva Kushan^ORCID,Demmer Ryan T.,Jönsson Daniel,Mousa Aya^ORCID,Forbes Andrew,Enticott Joanne^ORCID

Funder

Australian Government

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference52 articles.

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3. Contribution of environmental, genetic and epigenetic factors to obesity-related metabolic syndrome;The Nucleus;2023-04-11

4. Omega-3 Fatty Acids and Their Interaction with the Gut Microbiome in the Prevention and Amelioration of Type-2 Diabetes;Nutrients;2022-04-21