Heike Siebert

The paper engineers a synthetic three-node Turing gene circuit in E. coli that generates periodic spatial patterns, validated by a differential equation model.

This study compares continuous and discrete models of Turing patterns, finding discrete models more robust and suggesting deeper principles in Turing mechanisms.

This paper presents a framework for designing and evaluating miRNA-based distributed cell classifiers, showing improved prediction accuracy over single-circuit designs.

The paper develops a graph analysis method combining co-expression and ChIA-PET data to identify lncRNA-mediated regulatory modules in K562 cells, finding enriched disease associations and functional roles for lncRNAs.

This paper designs distributed cell classifiers using a genetic algorithm to improve accuracy and flexibility in cancer-type specific cell targeting.