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...
| 主要な著者: | , |
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| フォーマット: | Journal article |
| 出版事項: |
2015
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