图 书 馆
代谢网络通量的随机估计Stochastic estimation of fluxes in metabolic networks |
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| 课程网址: | http://videolectures.net/pmnp07_kadirkamanathan_seof/ |
| 主讲教师: | Visakan Kadirkamanathan |
| 开课单位: | 谢菲尔德大学 |
| 开课时间: | 2007-09-07 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The qualitative and quantitative information conveyed by metabolic networks are important for regulating the metabolism of an organism to achieve desired targets. One approach to quantification is the 13C tracer experiment which aims to provide information on metabolic fluxes. The flux estimation problem is addressed in steady state and dynamic conditions in this presentation. The problem formulation in the steady state leads to a latent variable model structure which is utilised in applying the stochastic estimation framework to solve the flux quantification problem. A natural algorithm to solve this problem is the expectationmaximisation algorithm which is applied first. This is extended to the Markov Chain Monte Carlo algorithm to account for nonGaussian measurement noise. Finally, a sequential Monte Carlo filter is used to determine the fluxes under dynamic conditions. Results are presented for the central metabolism of Cornybacterium Glutamicum in the steady state and using a simulated metabolic network for the dynamic case. |
| 关 键 词: | 代谢网络; 新陈代谢; 代谢通量; 潜变量模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-02：张荧(课程编辑志愿者) |
| 阅读次数: | 47 |