Alan R. Templeton

Structural Variants Are a Major Component of the Missing Heritability of Autism Spectrum Disorder

The paper identifies structural variants (SVs) in ASD families and links them to molecular pathways and genes associated with non-verbal ASD, using explainable AI for subgroup identification.

Synchronized genetic activities in Alzheimer's brains revealed by heterogeneity-capturing network analysis

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.

Network-based hierarchical population structure analysis for large genomic datasets

The paper introduces a network-based method for analyzing population structure in genomic data, demonstrating its application in Arabidopsis thaliana and human populations.

Inference and analysis of population structure using genetic data and network theory

This paper introduces a model-free, computationally efficient method for inferring population structure using network theory and genetic data, validated with human data and simulations.