Motivation: Numerous microarray studies of aging have been conducted, yet given the noisy
nature of gene expression changes with age, elucidating the transcriptional features of …

By combining transcriptomic data with other data sources, inferences can be made about
functional changes during ageing. Thus, we conducted a meta-analysis on 127 publicly …

Genome-wide studies of aging have identified subsets of genes that show age-related
changes in expression. Although the types of genes that are age regulated vary among …

Aging in humans is an incredibly complex biological process that leads to increased
susceptibility to various diseases. Understanding which genes are associated with healthy …

Organismal aging is driven by interconnected molecular changes encompassing internal
and extracellular factors. Combinational analysis of high-throughput 'multi-omics' datasets …

Biological aging reflects decline in physiological functions and is an effective indicator of
morbidity and mortality. Numerous epigenetic age calculators are available, however …

Multiple studies characterizing the human ageing phenotype have been conducted for
decades. However, there is no centralized resource in which data on multiple age-related …

Aging is one of the most important biological processes and is a known risk factor for many
age-related diseases in human. Studying age-related transcriptomic changes in tissues …

Individuals of the same age may not age at the same rate. Quantitative biomarkers of aging
are valuable tools to measure physiological age, assess the extent of 'healthy aging', and …

Identifying reliable biomarkers of aging is a major goal in geroscience. While the first
generation of epigenetic biomarkers of aging were developed using chronological age as a …