Lars Rønn Olsen

The paper presents a framework integrating AI and computational tools to evaluate CAR target characteristics, using HER2 as a case study to identify liabilities beyond conventional expression analysis.

CyStainer imputes markers in high-parameter cytometry data without shared markers, outperforming existing methods in panel merging and dataset integration.

This paper benchmarks supervised cell type annotation tools for cytometry data using a reproducible framework, showing performance varies across datasets and populations, with rare populations being a challenge.

X-Plat transforms expression and methylation data between microarray and sequencing platforms using polynomial regression, achieving lower RMSE than existing methods across multiple species.

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

The paper analyzes single-cell data from bone marrow samples to identify immune cell interactions that predict response to adoptive cellular therapy in myeloid leukemia.

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.

The paper shows that alternative splicing contributes significantly to biological signals in RNA-seq data, suggesting current studies may miss important insights.

The paper evaluates computational models predicting immune responses to Pertussis Booster vaccinations using a new community resource, finding that existing models perform poorly and new models show variable performance based on features and strategies.

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.

The paper presents an algorithm and web tool to design flow cytometry panels with minimal spectral overlap by optimizing fluorochrome combinations.