ADM-CLE approach for detecting slow variables in continuous time Markov chains and dynamic data

A method for detecting intrinsic slow variables in high-dimensional stochastic chemical reaction networks is developed and analyzed. It combines anisotropic diffusion maps (ADM) with approximations based on the chemical Langevin equation (CLE). The resulting approach, called ADM-CLE, has the potenti...

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Những tác giả chính: Cucuringu, M, Erban, R
Định dạng: Journal article
Được phát hành: 2015