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miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes
BACKGROUND: Type 2 diabetes mellitus (T2DM) affects approximately 451 million adults globally. In this study, we identified the optimal combination of marker candidates for detecting T2DM using miRNA-Seq data from 95 samples including T2DM and healthy individuals. METHODS: We utilized the genetic al...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463588/ https://www.ncbi.nlm.nih.gov/pubmed/37608331 http://dx.doi.org/10.1186/s12920-023-01636-2 |