Proposes a modeling framework integrating stochastic intracellular gene dynamics, intercellular signaling, and cell proliferation/differentiation via Waddington vector fields and epigenetic fitness landscapes, illustrated on two-gene differentiation and planaria-inspired models.
Predictingratesofcellstatechangecaused by stochastic fluctuations using a data-driven landscape model
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Incorporating stochastic gene expression, signaling-mediated intercellular interactions, and regulated cell proliferation in models of coordinated tissue development
Proposes a modeling framework integrating stochastic intracellular gene dynamics, intercellular signaling, and cell proliferation/differentiation via Waddington vector fields and epigenetic fitness landscapes, illustrated on two-gene differentiation and planaria-inspired models.