Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

作者：

Highlights：

• We present a novel Alzheimer's disease prediction model based on deep neural network.

• Integrating heterogeneous omics data contributed to improving the performance.

• Deep learning with biological feature selection outperformed traditional approaches.

摘要

•We present a novel Alzheimer's disease prediction model based on deep neural network.•Integrating heterogeneous omics data contributed to improving the performance.•Deep learning with biological feature selection outperformed traditional approaches.

论文关键词：Alzheimer's disease,Omics data integration,Biological feature selection,Deep neural network,Machine learning

论文评审过程：Received 8 February 2019, Revised 14 August 2019, Accepted 14 August 2019, Available online 15 August 2019, Version of Record 22 August 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112873