Layla Oesper

This work defines four classes of clonal tree differences, analyzes them with three distance measures, and introduces a visualization tool to better understand tree comparisons.

The paper enumerates and analyzes clonal trees under different evolutionary models to improve simulated data for clonal tree inference methods.

This paper introduces two new distance measures for tumor evolutionary trees, CASet and DISC, which better capture mutation inheritance patterns and show improved performance on simulated and breast cancer datasets.

The paper analyzes a chromothripsis signature in cancer genomes, showing its limitations and proposing an improved variant to distinguish simultaneous from sequential mutation events.