Christopher John Tralie

This paper develops a method using persistent homology to automate the quantification of stereotypical motor movements in autism, showing it generalizes across individuals.

The paper develops a structure-aware method to annotate Leucine-rich Repeat (LRR) domains by integrating geometric properties of protein structures, improving accuracy over sequence-based approaches.

The paper analyzes two single-cell datasets to study how p21 and p53 dynamics influence cell cycle arrest and mitosis frequency after radiation exposure.

The paper introduces a periodicity scoring algorithm for p53 time series and shows its correlation with cell division events.