Alyssa Klein

CellMAGE deconvolves gene expression in multi-parent populations by leveraging known parental genetic contributions, outperforming existing methods in accuracy and efficiency.

This paper introduces a genomic framework to prioritize mouse strains for preclinical disease modeling, showing high sensitivity in predicting strain vulnerability to diseases.

The paper examines behavioral variation in cocaine self-administration across multiple phases in genetically diverse mouse populations, identifying strain and sex differences and extreme strains for drug intake traits.

This study analyzes 1024 lung adenocarcinomas to identify evolutionary patterns and mutational mechanisms, revealing distinct trajectories linked to smoking, ancestry, and retrotransposition.

The paper identifies two lung cancer subtypes defined by APOBEC mutagenesis levels and shows their association with different genetic mutations, aging, and immune responses.

ezQTL provides a web tool for colocalizing GWAS and molecular QTL data to identify causal genes and variants.