Paul Kießling

Beyond benchmarking: an expert-guided consensus approach to spatially aware clustering

The paper introduces SACCELERATOR, a framework for spatially aware clustering that improves benchmarking by incorporating expert feedback and consensus analysis across diverse datasets.

Reversing PROTAC-induced ASH2L degradation reactivates proliferation in senescent cells

The paper shows that reversing PROTAC-induced ASH2L degradation restores H3K4me3, gene expression, and proliferation in senescent cells.

Atlas-scale spatially aware clustering with support for 3D and multimodal data using SpatialLeiden

The paper extends SpatialLeiden to handle atlas-scale, 3D, and multimodal spatial omics data, improving modularity and scalability across multiple samples.

Polyploid cardiomyocytes define disease-specific transcriptional states in the mammalian heart

This study identifies polyploid cardiomyocytes as disease-specific transcriptional states in the mammalian heart and suggests targeting them for heart failure treatment.

2D, or not 2D? Investigating Vertical Signal Integrity of Tissue Slices

This paper introduces a tool to detect overlapping cells and segmentation errors in 3D spatial transcriptomics data.

PHLOWER - Single cell trajectory analysis using Decomposition of the Hodge Laplacian

PHLOWER infers complex differentiation trees from multi-modal single-cell data using Hodge Laplacian decomposition, showing effectiveness in kidney organoid data.