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WGCNA

3 ePosters

Newest first

Circulating microRNAs as biomarkers for Alzheimer’s disease

Nina Hempel, Dennis Krüger, Tonatiuh Pena et al. · FENS Forum 2024

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder leading to age-associated dementia. For the first time in the last 20 years causative therapeutic strategies are on the horizon. However, since changes in cognitive function develop slowly over time in these patients, they are often diagnosed at an advanced stage of molecular pathology, a time point when causative treatments fail. Thus, there is great need for the identification of inexpensive and minimal invasive approaches that could be used for screening with the aim to identify individuals at risk for cognitive decline th

Neuroscience

Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used bioinformatics method that defines gene clusters (modules) based on correlated expression levels, allowing users to study relationships between modules, define groups of genes subserving common biological functions, and compare network topologies across distinct sets of expression data. WGCNA overcomes many challenges of gene-based studies, but it remains difficult to compare WGCNA results across studies, since gene modules are highly dependent on user parameters, experimental conditions, and other variables. As such, no con

Bio-Informatics