George D. Cresswell

The paper measures mutation rates in microsatellite stable colorectal cancers and finds they vary between tumors and increase during metastasis.

This study analyzes the evolutionary patterns and genomic instability in Wilms tumors, identifying subtype-specific evolutionary sequences and proposing CNA diversity as a prognostic biomarker.

This paper introduces a model-based subclonal reconstruction method that integrates evolutionary theory with machine learning to improve accuracy in tumor subclonal analysis.

This paper demonstrates evolutionary herding in non-small cell lung cancer to control drug resistance by shifting clonal composition and inducing collateral sensitivity.

This study measures single-cell division rates and survival in human cancers using multi-region sequencing data, revealing per-cell mutation and survival rates across different cancer types and healthy tissues.