Kolja Becker

The paper links TGFβ signaling, gene expression, and cellular fate decisions in mammary epithelial cells, identifying transcriptional regulators that ensure specific responses at high TGFβ doses.

In Silico Treatment evaluates animal models for disease relevance by simulating gene expression changes in humans, identifying suitable models and drug effects.

The paper identifies factors contributing to technical variability between bulk and single-cell RNA-seq experiments and introduces FAVSeq, a machine learning pipeline to detect these factors.