Synchronized genetic activities in Alzheimer's brains revealed by heterogeneity-capturing network analysis
Sharlee Climer, Alan R. Templeton, Michael R. Garvin, Daniel Jacobson, Matthew J. Lane, Scott Hulver, Brittany H. Scheid, Zheng Chen, Carlos Cruchaga, Weixiong Zhang
The paper introduces Maestro, a network analysis method that identifies synchronized genetic activities in Alzheimer's disease, finding a pattern associated with AD that is significantly more common in cases than controls.
bioRxiv · Jan 28, 2020 · PreprintBioinformatics