C. Schiller

This study compares and optimizes methods for analyzing cell type neighbor preferences in spatial tissue data, introducing COZI which outperforms existing approaches.

QuAPPro is an R/shiny app for quantifying and aligning polysome profiles, enabling interactive analysis of UV absorbance and fluorescence data from polysome profiling experiments.

This study uses spatial analysis to identify immune and metabolic niches in multiple myeloma, finding that CD4+ T cell proximity predicts disease progression.

The paper introduces APP, a clustering method that reduces high-dimensional biological data to lower dimensions to improve clustering performance across multiple data types.