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Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data

22 Oct 2021

Abstract excerpt

There are many subtypes of dementia, and identification of diagnostic biomarkers that are minimally-invasive, low-cost, and efficient is desired. Circulating microRNAs (miRNAs) have recently gained attention as easily accessible and non-invasive biomarkers. We conducted a comprehensive miRNA expression analysis of serum samples from 1348 Japanese dementia patients, composed of four subtypes-Alzheimer's disease...

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PMID: 34686734
DOI: 10.1038/s41598-021-00424-1

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