A Systematic Bioinformatics Workflow With Meta-Analytics Identified Potential Pathogenic Factors of Alzheimer’s Disease

Potential pathogenic factors, other than well-known , , and , can be further identified from transcriptomics studies of differentially expressed genes (DEGs) that are specific for Alzheimer's disease (AD), but findings are often inconsistent or even contradictory. Evidence corroboration by comb...

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Veröffentlicht in:	Frontiers in neuroscience Jg. 14; S. 209
Hauptverfasser:	Yuen, Sze Chung, Zhu, Hongmei, Leung, Siu-wai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 13.03.2020 Frontiers Media S.A
Schlagworte:	Algorithms Alzheimer's disease Amyloid Bioinformatics Brain Datasets Dementia Deoxyribonucleic acid DNA DNA microarrays DNA sequencing Drugs Epidermal growth factor receptors Fyn protein Gene expression Homeostasis Hypotheses Kinases Meta-analysis microarray analysis Neurodegenerative diseases Neuroscience Neurotoxicity Phosphorylation Proteins Ribonucleic acid RNA RNA sequence analysis Statistical analysis Studies Transcriptomics meta-analysis microarray analysis Alzheimer’s disease RNA sequence analysis bioinformatics
ISSN:	1662-453X, 1662-4548, 1662-453X
Online-Zugang:	Volltext
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