Erich Kummerfeld

The paper quantifies transposable element (TE) expression at both subfamily and locus levels during human endoderm differentiation, finding locus-level analysis reveals distinct transcriptional dynamics at cell division boundaries.

The paper uses causal discovery analysis to identify causal relationships among factors contributing to psychosis proneness in young individuals, finding negative self-schema and social cohesion as key factors.

This paper introduces a method to calculate a causal connectome from resting-state fMRI data and finds that attentional and executive networks act as critical hubs in the human connectome.

The paper uses explainable machine learning to identify gender-specific risk factors for cannabis use disorder, finding stronger environmental influences in women and individual factors in men.

The paper uses causal discovery analysis to build an integrated multimodal model of AUD, identifying key causal factors from brain function to social and affective factors.