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Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood

1 Jan 2022

Abstract excerpt

Traditional approaches for diagnosing Alzheimer’s disease (AD) such as brain imaging and cerebrospinal fluid are invasive and expensive. It is desirable to develop a useful diagnostic tool by exploiting biomarkers obtained from peripheral tissues due to their noninvasive and easily accessible characteristics. However, the capacity of using DNA methylation data in peripheral blood for predicting AD progression is...

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PMID: 36756173
DOI: 10.1016/j.csbj.2022.10.016

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