Systematic identification of differential gene network to elucidate Alzheimer's disease

作者：

Highlights：

• We focus on revealing the mechanism of Alzheimer's disease (AD) by network analysis.

• We present a novel method to construct a gene network by integrating omics data.

• The gene network, maintaining the specificity of AD, was statistically optimized.

• Potential genes and modules that can elucidate a mechanism of AD were identified.

• We demonstrated the epigenetic factor and ribosomal process are associated with AD.

摘要

•We focus on revealing the mechanism of Alzheimer's disease (AD) by network analysis.•We present a novel method to construct a gene network by integrating omics data.•The gene network, maintaining the specificity of AD, was statistically optimized.•Potential genes and modules that can elucidate a mechanism of AD were identified.•We demonstrated the epigenetic factor and ribosomal process are associated with AD.

论文关键词：Genetic network construction,Omics data integration,Network analysis,Alzheimer's disease

论文评审过程：Received 7 October 2016, Revised 27 April 2017, Accepted 16 May 2017, Available online 17 May 2017, Version of Record 23 May 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.042