Anissa Guillemin

Practical Identifiability in the Frame of Nonlinear Mixed Effects Models: the Example of the in vitro Erythropoiesis

The paper assesses practical identifiability in nonlinear mixed effects models using a multistart approach to simplify a model of chicken erythropoiesis and improve parameter estimation.

Uncertainty in cell fate decision making: Lessons from potential landscapes of bifurcation systems

The paper analyzes how noise affects the shape of potential landscapes in bifurcation systems, showing its impact on cell fate decision dynamics.

Drugs modulating stochastic gene expression affect the erythroid differentiation process

The paper identifies drugs that modulate stochastic gene expression and shows their impact on erythroid differentiation.

WASABI: a dynamic iterative framework for gene regulatory network inference

WASABI infers causal gene regulatory networks from time-stamped single-cell data, revealing a distributed network structure without hub genes in avian erythroid differentiation.

Calibration, Selection and Identifiability Analysis of a Mathematical Model of the in vitro Erythropoiesis in Normal and Perturbed Contexts

The paper develops a mathematical model of in vitro erythropoiesis, identifies its parameters, and evaluates the impact of Rapamycin on cellular differentiation.

Deep proteomic analysis of chicken erythropoiesis

This paper analyzes the chicken erythroblast proteome during terminal differentiation, revealing both conserved and divergent protein expression patterns compared to human erythroblasts.