The text discusses how periodic gene network processes can be modeled using multidimensional differential equations that feature feedback loops among variables.
It emphasizes the importance of conducting qualitative analyses of these systems to understand their dynamic behavior, including identifying key parameters and equilibrium points.
The paper further details the construction of invariant surfaces within phase portraits of these systems, highlighting their unique characteristics compared to classical Hamiltonian mechanics.