Hannah Spitzer

The paper introduces TimeAx, an algorithm for analyzing disease progression dynamics using time-series data, identifying key molecular transitions and clinical insights in urothelial bladder cancer.

The paper introduces CAMPA, a deep-learning framework for analyzing subcellular organization changes, and applies it to human cells to study how perturbations affect subnuclear organization and membraneless organelles.

Squidpy extends Scanpy/AnnData with spatial neighbor graphs and a lazy-loading image container, enabling spatial statistics, ligand-receptor tests, image features, and ~10-fold faster neighborhood enrichment than Giotto.

The paper presents a 3D laminar atlas of the human cerebral cortex using a convolutional neural network and uses it to analyze thickness gradients in sensory and motor cortices.