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Gel images are representative of two independent experiments

This study evaluates machine learning (ML) models in differentiating ischemic stroke (IS) from hemorrhagic stroke (HS) and classifying IS subtypes using integrated genomic, proteomic, transcriptomic, microRNA, and neuroimaging data (CT and MRI)

Data processing and analysis Open workflow [37] was used to inspect the raw data to determine optimal search parameters for MaxQuant v 2.0.3.0 [38]

The timing of mitochondrial DNA mutations in aging

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