Christina Bligaard Pedersen

The paper provides a framework for molecular cancer subtyping that integrates quality control, normalization, batch correction, classification, and reporting, with a use case in breast cancer.

This paper introduces cyCombine, a method for integrating single-cell cytometry datasets to reduce technical variance and maintain biological structure, enabling robust and scalable analysis.

The paper benchmarks CNV detection tools on WGS and WES data using clinical standards and reference samples, finding that combining multiple tools improves recall but precision remains a challenge.