Unraveling the molecular heterogeneity in type 2 diabetes: a potential subtype discovery followed by metabolic modeling

Background Type 2 diabetes mellitus (T2DM) is a complex multifactorial disease with a high prevalence worldwide. Insulin resistance and impaired insulin secretion are the two major abnormalities in the pathogenesis of T2DM. Skeletal muscle is responsible for over 75% of the glucose uptake and plays...

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Veröffentlicht in:	BMC medical genomics Jg. 13; H. 1; S. 119 - 12
Hauptverfasser:	Khoshnejat, Maryam, Kavousi, Kaveh, Banaei-Moghaddam, Ali Mohammad, Moosavi-Movahedi, Ali Akbar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 24.08.2020 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Accuracy Analysis Bioinformatic and algorithmical studies Biomarkers - analysis Biomass Biomedical and Life Sciences Biomedicine Case-Control Studies Chromosomes Classification Clustering Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - classification Diabetes Mellitus, Type 2 - genetics Diabetes Mellitus, Type 2 - metabolism Diabetes Mellitus, Type 2 - pathology Diabetics Discovery and exploration Enzymes Feature selection Flux variability analysis Gene Expression Gene Expression Regulation Genes Genetic algorithms Genomes Glucose Glucose metabolism Human Genetics Humans Insulin Insulin - metabolism Insulin resistance Insulin secretion Learning algorithms Machine learning Metabolic Networks and Pathways Metabolic pathways Metabolism Metabolites Microarrays Molecular modelling Muscle Musculoskeletal system Research Article Signal Transduction Skeletal muscle Subtype Support vector machines Transcriptome Type 2 diabetes Type 2 diabetes Metabolic modeling Classification Insulin resistance Muscle Clustering Subtype Flux variability analysis
ISSN:	1755-8794, 1755-8794
Online-Zugang:	Volltext
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