Integrated Analysis of Methylomic and Transcriptomic Data to Identify Potential Diagnostic Biomarkers for Major Depressive Disorder

Integrated Analysis of Methylomic and Transcriptomic Data to Identify Potential Diagnostic Biomarkers for Major Depressive Disorder

Major depressive disorder (MDD) is a mental illness with high incidence and complex etiology, that poses a serious threat to human health and increases the socioeconomic burden. Currently, high-accuracy biomarkers for MDD diagnosis are urgently needed. This paper aims to identify novel blood-based d...

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Bibliographic Details
Main Authors: Yinping Xie, Ling Xiao, Lijuan Chen, Yage Zheng, Caixia Zhang, Gaohua Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Genes
Subjects:
major depressive disorder
diagnostic biomarkers
DNA methylation
mRNA expression
random forest algorithm
leave-one-out cross-validation
Online Access:https://www.mdpi.com/2073-4425/12/2/178

Internet

https://www.mdpi.com/2073-4425/12/2/178

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