Lea Schuh

The paper develops a neural network framework to predict the presence and weekly abundance of Aedes albopictus across Europe using climate variables.

The paper develops a mathematical framework to model allelic correlation and noise transmission in genetic networks, finding trade-offs between noise transmission and signal responsiveness.

This study quantifies repression memory in budding yeast cells during repeated carbon source shifts, showing shortened repression delays and a gain-of-memory phenotype in Elp6-deficient cells.

The paper models H4K20 methylation kinetics during Xenopus embryogenesis, showing demethylation is essential in non-cycling cells but dispensable in rapidly dividing cells.

The paper shows that transcriptional bursting in gene networks can produce rare coordinated high expression states in cancer cells, which are linked to drug resistance.

The paper models the propagation and stability of K27 and K36 methylation landscapes using computational methods and mass spectrometry data.