Led by Bill Li, this work introduces cross-trait polygenic prediction as a strategy for using phenome-wide PGS libraries in deeply phenotyped cohorts to reveal multiple polygenic …
Led by Ishir Rao, this work introduces sc4D, a spatio-temporal single-cell transcriptomics framework for modeling disease progression with embedded optimal transport.
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline, yet its epigenetic underpinnings remain elusive.
Here we report 194,000 single-nucleus microglial transcriptomes and epigenomes across 443 human subjects and diverse Alzheimer's disease pathological phenotypes.
