Thomas A. Veith

This study identifies subtype-specific mutational mechanisms and links them to host metabolic factors in endometrial cancer using genomic and transcriptomic data from 440 tumors.

The paper introduces ECO-K, an inverse game theory framework to infer subpopulation interactions from single-cell sequencing data in TNBC, revealing frequency-dependent selection driven by karyotypic diversity.

The paper introduces CLONEID, a framework for organizing clone-resolved data to enable longitudinal genotype-to-phenotype mapping in experiments with repeated molecular and phenotypic measurements.

This study uses a mathematical model to show that ploidy and resource availability in the tumor microenvironment influence glioblastoma initiation and recurrence.

The paper models clonal interference in cancer cell lines using phenotypic data to predict growth rate and carrying capacity differences between karyotypes.