Mehdi Sadeghi

SimMapNet improves gene regulatory network inference by integrating Gene Ontology similarities, outperforming existing methods on bacterial and fly datasets.

This paper develops a computational model to explain how stem cells maintain tissue homeostasis through stochastic gene regulation and cell division dynamics.

This paper proposes a noise-driven differentiation model to explain multicellular differentiation and self-organization, testing it through a cell aggregation model.

The paper uses a game-theoretical approach and individual-based modeling to explain how yeast populations switch between respiration and fermentation for glucose metabolism.

This study proposes that male infertility may result from stochastic transmission of cytoplasmically-inherited proteins during spermatogenesis, using a simple stochastic model to demonstrate reduced viable sperm proportion under certain parameters.

The paper models chemotactic behavior in E. coli using a hierarchical approach, showing the behavior can be reduced to a non-homogeneous Markov process.