miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes
Abstract 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 gen...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
BMC,
2023-08-01T00:00:00Z.
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |