An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer's disease
MN Shokhirev, AA Johnson - Ageing Research Reviews, 2022 - Elsevier
Alzheimer's disease (AD) is an incredibly complex and presently incurable age-related brain
disorder. To better understand this debilitating disease, we collated and performed a meta …
disorder. To better understand this debilitating disease, we collated and performed a meta …
Applied machine learning in Alzheimer's disease research: omics, imaging, and clinical data
Alzheimer's disease (AD) remains a devastating neurodegenerative disease with few
preventive or curative treatments available. Modern technology developments of high …
preventive or curative treatments available. Modern technology developments of high …
[HTML][HTML] microRNA diagnostic panel for Alzheimer's disease and epigenetic trade-off between neurodegeneration and cancer
S Nagaraj, KM Zoltowska, K Laskowska-Kaszub… - Ageing research …, 2019 - Elsevier
Abstract microRNAs (miRNAs) have been extensively studied as potential biomarkers for
Alzheimer's disease (AD). Their profiles have been analyzed in blood, cerebrospinal fluid …
Alzheimer's disease (AD). Their profiles have been analyzed in blood, cerebrospinal fluid …
Data-driven analysis of age, sex, and tissue effects on gene expression variability in Alzheimer's disease
LRK Brooks, GI Mias - Frontiers in Neuroscience, 2019 - frontiersin.org
Alzheimer's disease (AD) has been categorized by the Centers for Disease Control and
Prevention (CDC) as the 6th leading cause of death in the United States. AD is a significant …
Prevention (CDC) as the 6th leading cause of death in the United States. AD is a significant …
Differential transcript usage unravels gene expression alterations in Alzheimer's disease human brains
D Marques-Coelho, LCC Iohan… - npj Aging and …, 2021 - nature.com
Alzheimer's disease (AD) is the leading cause of dementia in aging individuals. Yet, the
pathophysiological processes involved in AD onset and progression are still poorly …
pathophysiological processes involved in AD onset and progression are still poorly …
Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia
Objective Previous gene expression analysis identified a network of coexpressed genes that
is associated with β‐amyloid neuropathology and cognitive decline in older adults. The …
is associated with β‐amyloid neuropathology and cognitive decline in older adults. The …
The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease
Alzheimer's disease (AD) affects half the US population over the age of 85 and is universally
fatal following an average course of 10 years of progressive cognitive disability. Genetic and …
fatal following an average course of 10 years of progressive cognitive disability. Genetic and …
Integrative genomics approach identifies conserved transcriptomic networks in Alzheimer's disease
Alzheimer's disease (AD) is a devastating neurological disorder characterized by changes in
cell-type proportions and consequently marked alterations of the transcriptome. Here we use …
cell-type proportions and consequently marked alterations of the transcriptome. Here we use …
Molecular subtyping of Alzheimer's disease using RNA sequencing data reveals novel mechanisms and targets
Alzheimer's disease (AD), the most common form of dementia, is recognized as a
heterogeneous disease with diverse pathophysiologic mechanisms. In this study, we …
heterogeneous disease with diverse pathophysiologic mechanisms. In this study, we …
ANMerge: a comprehensive and accessible Alzheimer's disease patient-level dataset
C Birkenbihl, S Westwood, L Shi… - Journal of …, 2021 - content.iospress.com
Background: Accessible datasets are of fundamental importance to the advancement of
Alzheimer's disease (AD) research. The AddNeuroMed consortium conducted a longitudinal …
Alzheimer's disease (AD) research. The AddNeuroMed consortium conducted a longitudinal …