Omics sciences for systems biology in Alzheimer's disease: State-of-the-art of the evidence
Alzheimer's disease (AD) is characterized by non-linear, genetic-driven pathophysiological
dynamics with high heterogeneity in biological alterations and disease spatial-temporal …
dynamics with high heterogeneity in biological alterations and disease spatial-temporal …
[HTML][HTML] Genetic and epigenetic regulation of human aging and longevity
Here we summarize the latest data on genetic and epigenetic contributions to human aging
and longevity. Whereas environmental and lifestyle factors are important at younger ages …
and longevity. Whereas environmental and lifestyle factors are important at younger ages …
Prediction of Alzheimer's disease using blood gene expression data
Identification of AD (Alzheimer's disease)-related genes obtained from blood samples is
crucial for early AD diagnosis. We used three public datasets, ADNI, AddNeuroMed1 …
crucial for early AD diagnosis. We used three public datasets, ADNI, AddNeuroMed1 …
Gene co-expression in the interactome: moving from correlation toward causation via an integrated approach to disease module discovery
In this study, we integrate the outcomes of co-expression network analysis with the human
interactome network to predict novel putative disease genes and modules. We first apply the …
interactome network to predict novel putative disease genes and modules. We first apply the …
Machine learning on human muscle transcriptomic data for biomarker discovery and tissue-specific drug target identification
For the past several decades, research in understanding the molecular basis of human
muscle aging has progressed significantly. However, the development of accessible tissue …
muscle aging has progressed significantly. However, the development of accessible tissue …
Skeletal muscle transcriptome in healthy aging
Age-associated changes in gene expression in skeletal muscle of healthy individuals reflect
accumulation of damage and compensatory adaptations to preserve tissue integrity. To …
accumulation of damage and compensatory adaptations to preserve tissue integrity. To …
Identification of diagnostic genes for both Alzheimer's disease and Metabolic syndrome by the machine learning algorithm
J Li, Y Zhang, T Lu, R Liang, Z Wu, M Liu, L Qin… - Frontiers in …, 2022 - frontiersin.org
Background Alzheimer's disease is the most common neurodegenerative disease
worldwide. Metabolic syndrome is the most common metabolic and endocrine disease in the …
worldwide. Metabolic syndrome is the most common metabolic and endocrine disease in the …
Change in the rate of biological aging in response to caloric restriction: CALERIE biobank analysis
Biological aging measures have been proposed as proxies for extension of healthy life span
in trials of geroprotective therapies that aim to slow aging. Several methods to measure …
in trials of geroprotective therapies that aim to slow aging. Several methods to measure …
A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: statistical approach vs machine learning approach
Alzheimer's Disease (AD) is a neurodegenerative disease that affects cognition and is the
most common cause of dementia in the elderly. As the number of elderly individuals …
most common cause of dementia in the elderly. As the number of elderly individuals …
Machine learning to detect signatures of disease in liquid biopsies–a user's guide
New technologies that measure sparse molecular biomarkers from easily accessible bodily
fluids (eg blood, urine, and saliva) are revolutionizing disease diagnostics and precision …
fluids (eg blood, urine, and saliva) are revolutionizing disease diagnostics and precision …