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Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method
Date
2016-06-01
Author
Purutçuoğlu Gazi, Vilda
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https://hdl.handle.net/11511/85490
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Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters
Purutçuoğlu Gazi, Vilda (Institute of Mathematical Statistics, 2008-01-01)
The MAPK/ERK pathway is one of the major signal transduction systems which regulates the cellular growth control of all eukaryotes like the cell proliferation and the apoptosis. Because of its importance in cellular lifecycle, it has been studied intensively, resulting in a number of qualitative descriptions of this regulatory mechanism. In this study we describe the MAPK/ERK pathway as an explicit set of reactions by combining different sources. Our reaction set takes into account the localization and diff...
Bayesian inference for the MAPK/ERK pathway by considering the dependency of the kinetic parameters
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Bayesian semiparametric models for nonignorable missing datamechanisms in logistic regression
Öztürk, Olcay; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2011)
In this thesis, Bayesian semiparametric models for the missing data mechanisms of nonignorably missing covariates in logistic regression are developed. In the missing data literature, fully parametric approach is used to model the nonignorable missing data mechanisms. In that approach, a probit or a logit link of the conditional probability of the covariate being missing is modeled as a linear combination of all variables including the missing covariate itself. However, nonignorably missing covariates may n...
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V. Purutçuoğlu Gazi, “Bayesian inference of deterministic MAPK-ERK pathway via reversible jumps Monte Carlo method,” 2016, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/85490.