Publication: Accounting for extrinsic variability in the estimation of stochastic rate constants
Accounting for extrinsic variability in the estimation of stochastic rate constants
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Koeppl, H., Zechner, C., Ganguly, A., Pelet, S., & Peter, M. (2012). Accounting for extrinsic variability in the estimation of stochastic rate constants. International Journal of Robust and Nonlinear Control, 22, 1103–1119. https://doi.org/10.1002/rnc.2804
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Single-cell recordings of transcriptional and post-transcriptional processes reveal the inherent stochasticity of cellular events. However, to a large extent, the observed variability in isogenic cell populations is due to extrinsic factors, such as difference in expression capacity, cell volume and cell cycle stage—to name a few. Thus, such experimental data represents a convolution of effects from stochastic kinetics and extrinsic noise sources. Recent parameter inference schemes for single-cell data just account for variability bec
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- Koeppl, Heinz
- Zechner, Christoph
- Ganguly, Arnab
- Pelet, Serge
- Peter, Matthias
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Koeppl, H., Zechner, C., Ganguly, A., Pelet, S., & Peter, M. (2012). Accounting for extrinsic variability in the estimation of stochastic rate constants. International Journal of Robust and Nonlinear Control, 22, 1103–1119. https://doi.org/10.1002/rnc.2804
