First-of-Its-Kind Map of Alzheimer's Reveals Hidden Gene Activity
The SIGNET machine-learning framework reveals causal gene interactions in six brain cell types, identifying hub genes as promising targets for Alzheimer’s detection and treatment.
2 Articles
2 Articles
First-of-Its-Kind Map of Alzheimer's Reveals Hidden Gene Activity
A new Alzheimer's study has produced a first-of-its-kind genetic map, which could provide vital insights into the cause-and-effect sequences of gene activity that may be driving the disease in the brain. This blueprint shows not only snapshots of gene activity in specific brain cells, but also connections between genes showing potential paths of chain reactions. The research team, from the University of California, Irvine (UC Irvine) and Purdue …
First Cell‑Type Gene Map for Alzheimer’s Built with New Analysis Method
Researchers headed by a team at the University of California, Irvine, Joe C. Wen School of Population & Public Health have built what they suggest is the first cell type-specific gene regulatory network (GRN) map for Alzheimer’s disease (AD), which shows how genes causally regulate one another across different types of brain cells affected by AD. The researchers developed a machine learning framework, SIGNET (Statistical Inference on Gene Regula…
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