Yin Yeng Lee

This study uses machine learning to predict sleep-related genes from genomic data and validates the NF-κB pathway's role in sleep duration in mice.

This paper introduces LTM, an in silico method to identify genetic influences on circadian clock function using gene expression data, and finds the cell cycle and extracellular matrix pathways are strongly associated with clock strength in human tissues.