Derivation of stationary distributions of biochemical reaction networks via structure transformation
Hong, Kim and colleagues develop a method for analytically deriving the stationary distributions of stochastic biochemical reaction networks using network structure transformation. They provide this method in a user-friendly computational package, CASTANET, available open-source.
Enregistré dans:
Auteurs principaux: | Hyukpyo Hong, Jinsu Kim, M. Ali Al-Radhawi, Eduardo D. Sontag, Jae Kyoung Kim |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/f3360ccb16ac49c5a6b904005256629e |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Universally valid reduction of multiscale stochastic biochemical systems using simple non-elementary propensities.
par: Yun Min Song, et autres
Publié: (2021) -
Characterizing multistationarity regimes in biochemical reaction networks.
par: Irene Otero-Muras, et autres
Publié: (2012) -
Fingerprints of nonequilibrium stationary distributions in dispersion relations
par: Kamel Ourabah
Publié: (2021) -
Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
par: Iman M.G. Alwan
Publié: (2012) -
Color Image Denoising Using Stationary Wavelet Transform and Adaptive Wiener Filter
par: Iman M.G. Alwan
Publié: (2012)