Anna Cäcilie Möller

scXMatch quantifies distribution shifts between single-cell data from different conditions using a non-parametric graph-based test, showing robust performance across gene expression, chromatin accessibility, and morphology data.

The paper introduces MaSkel and napari-MaSkel, tools for fast skeletonization and graph-based feature extraction from segmentation masks, using an optimized Lee94 thinning algorithm.

This study quantifies morphodynamic features of peritoneal resident tissue macrophages in vivo to distinguish functional states and assess tissue age.

The paper analyzes spatial protein abundance data from skin tissue samples to identify characteristic spatial organization patterns in CTCL compared to AD and PSO.

This paper predicts 5-year progression-free survival in melanoma using spatial proteomics and few-shot learning, achieving over 90% accuracy.