M.‐Th. Hütt

The paper uses ancient metagenomics to show that loss of large mammals disrupted seed dispersal, contributing to mammoth-steppe collapse and informing Arctic rewilding.

The paper shows that excitable dynamics in neural networks produce similar activity patterns in weighted and binarized networks when an appropriate threshold is used.

This paper investigates the distribution of disease-associated SNPs relative to 3D genome topological domains and finds that cancer risk loci are preferentially located at TAD borders.

The paper evaluates PCA and LDA for classifying cocoa bean origin using LC-MS data, finding that LDA with compound filtering improves origin clustering.

This paper uses correlation networks from untargeted LC-MS data to distinguish cocoa samples by processing stage and origin country.

This paper introduces a topological reinforcement model that evolves synthetic networks toward modularity, suggesting it may underlie modular structure in brain networks.