Diederik S. Laman Trip

This paper develops a deep-learning method to unify genetic evidence from common and rare diseases by integrating diverse data sources and identifying shared genetic mechanisms.

This study uses network propagation to improve the clustering of primary ciliopathies and identify candidate genes, including a novel variant in CEP43.

The paper constructs a tissue-specific protein interaction atlas using proteomic data from 11 human tissues, identifying key drivers of inter-tissue variation and prioritizing disease genes in brain disorders.

The paper shows that ROS and gene-expression dynamics set limits on yeast cell cycle progression at near-freezing temperatures.

This study shows that yeast populations can survive high temperatures by cooperatively secreting antioxidants, delaying extinction and altering growth dynamics based on population density.