Tag: single-cell analysis
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Depression Brain Cells Identified: Key Neurons and Microglia
Groundbreaking study pinpoints brain-cell targets in depression In a landmark effort to understand the biology of depression, researchers have for the first time pinpointed the exact brain cell types where gene activity and DNA regulation are disrupted. The team combined advanced genomic techniques with post-mortem brain tissue to identify the cells most affected by depression,…
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AI and Bayesian Modeling Advancing Disease Research at UT Arlington
Overview: Accelerating disease research with AI and Bayesian modeling At the University of Texas at Arlington, researchers are building a powerful bridge between artificial intelligence and statistics to unlock the secrets hidden in massive biological datasets. By combining AI-driven pattern discovery with transparent Bayesian modeling, UT Arlington data scientists are developing tools that help scientists…
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Advancements in Single-Cell Analysis: A New Era for Brain Disease Treatment
Introduction to Single-Cell Analysis The field of neuroscience is undergoing a revolution with the advent of advanced techniques for single-cell analysis. Traditional methods limited researchers to analyzing only a handful of cells at a time, often missing crucial insights into brain diseases. However, recent developments now allow scientists to examine the proteins in up to…