Craig J. Anderson

Explainable machine learning relates histological to genomic pathology

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.

Genetic background sets the trajectory of cancer evolution

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.

Identification of a novel resistance gene which provides insight into Vip3Aa mode of action in Helicoverpa armigera

This study identifies a novel gene, HaVipR1, responsible for Vip3Aa resistance in Helicoverpa armigera through genetic crosses and genomic analysis, showing its role in conferring resistance independently of known genes.

Germline and somatic variation influence nuclear-mitochondrial crosstalk in tumourigenesis

This study investigates how germline and somatic genetic variations affect mitochondrial DNA content, mutation patterns, and gene expression in liver tumors across four mouse strains.

Strand-resolved mutagenicity of DNA damage and repair

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