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|a QP517.C45
|b H374 2013
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|a Hasenauer, Jan,
|e author.
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|a Modeling and parameter estimation for heterogeneous cell populations /
|c vorgelegt von Jan Hasenauer aus Vaihingen an der Einz.
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|a Berlin :
|b Logos Verlag Berlin GmbH,
|c 2013.
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent.
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|b cr
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|a Intro; 1 Introduction; 1.1 Research motivation; 1.2 Research topic overview; 1.3 Contribution of this thesis; 1.4 Outline of this thesis; 2 Background; 2.1 Single cells models; 2.2 Cell population models; 2.3 Bayesian parameter estimation in a nutshell; 3 Signal transduction in heterogeneous cell populations; 3.1 Introduction and problem statement; 3.2 Modeling of signal transduction in heterogeneous cell populations; 3.3 Bayesian estimation and uncertainty analysis of population heterogeneity; 3.4 Example: Apoptotic signaling in cancer cell populations; 3.5 Summary and discussion.
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|a 4 Proliferation of heterogeneous cell populations4.1 Introduction and problem statement; 4.2 Modeling the proliferation of heterogeneous cell populations; 4.3 Bayesian estimation and uncertainty analysis of proliferation dynamics; 4.4 Application example: Proliferation of T lymphocytes; 4.5 Summary and discussion; 5 Conclusion; 5.1 Summary and conclusions; 5.2 Outlook; Appendix.
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| 700 |
1 |
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|a Allgöwer, Frank,
|d 1962-
|e degree supervisor.
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| 710 |
2 |
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|a Stuttgart Research Centre for Simulation Technology,
|e sponsoring body.
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| 710 |
2 |
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|a Universität Stuttgart.
|b Institut für Systemtheorie und Regelungstechnik,
|e sponsoring body.
|
| 776 |
0 |
8 |
|i Print version:
|a Hasenauer, Jan.
|t Modeling and parameter estimation for heterogeneous cell populations.
|d Berlin : Logos Verlag Berlin GmbH, 2013
|z 9783832533984
|z 3832533982
|w (OCoLC)867612130.
|
| 856 |
4 |
0 |
|u https://ebookcentral.proquest.com/lib/ucb/detail.action?docID=5850417
|z Full Text (via ProQuest)
|
| 907 |
|
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|a .b115180485
|b 01-06-21
|c 01-06-21
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|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e QP517.C45 H374 2013
|h Library of Congress classification
|i web
|n 1
|
