Computational approaches for clinical, genomic and proteomic markers of response to glucagon-like peptide-1 therapy in type-2 diabetes mellitus: An exploratory analysis with machine learning algorithms-Reference-Cited by-同舟云学术

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Computational approaches for clinical, genomic and proteomic markers of response to glucagon-like peptide-1 therapy in type-2 diabetes mellitus: An exploratory analysis with machine learning algorithms

Published:2024-07 Issue:7 Volume:18 Page:103086
ISSN:1871-4021
Container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews
language:en
Short-container-title:Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Author:

Villikudathil Angelina Thomas^ORCID,Mc Guigan Declan H.^ORCID,English Andrew^ORCID

Funder

Ulster University Magee Campus

Publisher

Elsevier BV

Reference30 articles.

1. Epidemiology of Type 2 diabetes - global burden of disease and forecasted trends;Khan;J Epidemiol Glob Health,2020

2. Future drug treatments for type 2 diabetes;Bailey,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Highlights of the current issue;Diabetes & Metabolic Syndrome: Clinical Research & Reviews;2024-09

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