Daniel H. Palmer

This paper identifies epigenetic loci with age-correlated variance, introduces a deep-learning model to predict age from variance, and proposes a theory of systemic ageing through feedback deregulation.

This study identifies common ageing transcriptomic signatures across mammalian tissues using meta-analysis and machine learning, revealing shared functional changes and network properties.

PICKER-HG is a web server that uses random forests to classify human genes into categories based on user-provided annotations and outputs classification rules.