Title
Application of Correlation Pre-Filtering Neural Network to DNA Methylation Data: Biological Aging Prediction
Document Type
Article
Publication Date
1-1-2022
Abstract
We introduce the CPFNN (Correlation Pre-Filtering Neural Network) for biological age prediction based on blood DNA methylation data. The model is built on 20,000 top correlated DNA methylation features and trained by 1810 healthy samples from GEO database. The input data format and the instructions for parser and CPFNN model are detailed in this chapter. Followed by two potential uses, age acceleration detection and unknown age prediction are discussed.
Identifier
85129580398 (Scopus)
DOI
10.1007/978-1-0716-1994-0_15
Publisher
Humana Press Inc
ISSN
10643745
Repository Citation
Li, L., Zhang, C., Guan, H., & Yu, Z. (2022). Application of correlation pre-filtering neural network to DNA methylation data: Biological aging prediction. Methods in Molecular Biology, 2432, 201-210. https://doi.org/10.1007/978-1-0716-1994-0_15
Publication Information
Methods in Molecular Biology