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

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

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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...

書誌詳細
主要な著者:	Cucuringu, M, Erban, R
フォーマット:	Journal article
出版事項:	2015

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