Jonas Windhager

The paper presents two workflows for analyzing multiplexed imaging data from cancer tissues, applied to over 10,000 samples from 2500 patients, enabling large-scale tumor microenvironment studies.

Points2Regions clusters spatial transcriptomics data to identify biologically relevant regions across multiple scales efficiently and interactively.

The paper introduces a workflow for processing and analyzing multiplexed imaging data, integrating image processing with single-cell analysis tools.

The paper presents a stochastic hybrid model of DNA replication in fission yeast that incorporates protein mobility dynamics and experimental data to simulate full-genome duplication and replication timing.

The paper uses single-cell proteomics and perturbation experiments to improve drug sensitivity predictions in breast cancer and identify genomic features associated with treatment response.