Eva Hörmanseder

The paper shows that sampling biases in negative regulatory interactions inflate performance in gene regulatory network inference and proposes a degree-aware sampling approach to address this issue.

This study shows that reprogramming success varies by cell type and is influenced by the expression of genes from the original cell type, with some cells resisting reprogramming and causing developmental issues.

This study identifies H3K27ac as an epigenetic barrier to reprogramming-induced cell fate changes using an AI-based approach and shows that reducing H3K27ac improves reprogramming efficiency.

This study shows that H3K4 methylation acts as an epigenetic memory to support zygotic genome activation and embryonic development in Xenopus laevis.

The paper introduces Targeted DamID to detect cell-type specific histone modifications in vivo across different model organisms.