Article

Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus

2019-04-01

Abstract excerpt

In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alzheimer’s disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, functional pathway e...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0e314f42-6a02-5e8c-82f8-ef6f36c75abb
DOI: 10.1007/s41048-019-0086-2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampusDOI 10.1007/s41048-019-0086-2Read

Integrated identification of key genes and pathways in Alzheimer’s disease via comprehensive bioinformatical analysesSemantic proximity Read

Key Genes and Biochemical Networks in Various Brain Regions Affected in Alzheimer’s DiseaseSemantic proximity Read

Potential hippocampal genes and pathways involved in Alzheimer’s disease: a bioinformatic analysisSemantic proximity Read

Identification of dysregulated genes and pathways of different brain regions in Alzheimer’s diseaseSemantic proximity Read

Analysis of Shared Genetic Regulatory Networks for Alzheimer's Disease and Epilepsy.Semantic proximity Read

Identification of novel hub genes for Alzheimer’s disease associated with the hippocampus using WGCNA and differential gene analysisSemantic proximity Read

Identification and validation of oxidative stress and immune-related hub genes in Alzheimer’s disease through bioinformatics analysisSemantic proximity Read

Identification of candidate biomarkers and signaling pathways associated with Alzheimer’s disease using bioinformatics analysis of next generation sequencing dataSemantic proximity Read

Investigating Gene Expression Datasets of Hippocampus Tissue to Discover Alzheimer's Disease-Associated Molecular MarkersSemantic proximity Read

Identification of hub genes associated with cognition in the hippocampus of Alzheimer’s DiseaseSemantic proximity Read

Exploring the Key Genes and Identification of Potential Diagnosis Biomarkers in Alzheimer’s Disease Using Bioinformatics AnalysisSemantic proximity Read