Benno Schwikowski

The paper identifies and functionally characterizes regulatory variants in DPP9 associated with severe COVID-19 by analyzing genetic risk factors and their impact on gene expression and immune cell function.

The paper uses single-cell RNA sequencing to identify resistance signatures in ovarian cancer and develops a framework for combination therapy with carboplatin.

This study extends a gene pair classification method to ordinal outcomes, showing comparable performance with higher interpretability in glioblastoma and ovarian cancer.

The paper introduces fastBMC, an algorithm that accelerates the identification of bivariate monotonic classifiers, improving classification performance on clinical datasets.

This paper reviews consensus clustering methods, their stability scores, and applications to gene expression data, providing open-source R implementations.

This study identifies factors influencing DNA methylation variation in human blood, showing that cytomegalovirus infection and aging drive methylation changes, with cellular composition and DNA sequence as key predictors.

The paper identifies novel genetic and non-genetic factors associated with plasma protein levels in healthy donors, highlighting their impact on immune response variability.