Sören Becker

The paper creates a Human Cytokine Dictionary using single-cell transcriptomes of PBMCs stimulated with cytokines, revealing cell-type-specific responses and communication networks.

The paper analyzes unassigned RNAs in spatial transcriptomics data, identifies biological relevance, and introduces a tool for their study.

scConcept improves single-cell representations by using contrastive learning instead of reconstruction, outperforming existing methods in multiple tasks.

CellFlow predicts single-cell phenotypes from complex perturbations using flow matching, demonstrating accuracy in cytokine stimulation, drug treatments, and developmental modeling.