Identifying and ranking potential driver genes of Alzheimer’s Disease using multi-view evidence aggregation

In Mukherjee et al, we provide a generalizable framework for integration of diverse systems biology outputs to rank and identify new transcriptomic and genetic drivers of Alzheimer’s disease. This provides evidence that integration of multiple systems biology resources can provide insights into new Alzheimer’s disease loci, which can help researchers prioritize future experimental studies focusing on specific genes and pathways that are driving disease etiology.