Frances Connor

This paper uses machine learning to predict genomic alterations from H&E images of liver tumors, revealing genotype-phenotype links and highlighting genetic background limitations.

This study shows that genetic background and environmental factors determine the trajectory of cancer evolution in mice, with distinct mutational paths despite similar final tumor states.

The paper shows that chromatin accessibility and co-factor availability determine ASCL1's ability to reprogram cells across different tissues in Xenopus embryos.

The paper investigates how strand-asymmetric processes like replication and transcription influence DNA damage, repair, and mutagenesis, revealing mechanisms that shape cancer genome evolution.

The paper investigates cis and trans mechanisms influencing transcription factor binding and gene expression evolution in mice by analyzing allele-specific occupancy in crosses of two inbred strains.