R. O. Schenck

The paper examines stem cell population dynamics in colorectal tumors, showing that CBC-RSC admixture correlates with mutations and microenvironmental changes, and is linked to chemoresistance.

Gattaca generates base-pair resolution artificial genomes to track somatic mutations in agent-based models, enabling in-silico studies comparable to human somatic evolution.

This study develops a mathematical model of neoantigen evolution in tumors and validates it with colorectal cancer data, showing how negative selection shapes tumor immunogenotype and clonality.

EvoFreq is a tool for visualizing evolutionary frequencies of sequence and model data across time, offering flexible methods for analyzing clonal dynamics.

This study presents a mechanistic epidermal model showing homeostasis leads to log-linear subclone size distributions in skin cells, with larger subclones being older due to persistence of driver mutations.

The paper models tumor-immune dynamics in colorectal cancer progression, showing immune evasion enables transition from immune-hot adenomas to immune-cold carcinomas.