Konstantine Tchourine

The paper shows macroecological laws emerge from chaotic species interactions in spatially heterogeneous communities without external noise.

This study examines how functional properties of bacterial species and communities influence the scaling of temporal abundance fluctuations in gut microbiota, finding strong associations with enzyme availability and metabolic capabilities.

The paper introduces Inferelator 3.0, a tool for inferring gene regulatory networks from single-cell data, showing improved performance on yeast and mouse brain datasets.

The paper re-analyzes protein half-life data in yeast to provide consistent estimates, finding that protein stability correlates with abundance and function.

The paper improves transcription regulatory network inference in yeast by explicitly modeling RNA stability and half-lives, leading to better predictions and new insights.