Robert E. Schoen

The paper uses single-cell RNA sequencing to identify pre-vaccination immune cell types, gene expression patterns, and pathways that predict immune response to a preventative MUC1 vaccine.

UNSEG provides an unsupervised method for segmenting cells and their nuclei in complex tissue samples without training data, outperforming deep learning methods in generalization and consistency.

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

This study uses Mendelian randomization to show that higher physical activity levels are associated with lower risks of breast and colorectal cancer.

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.