层次化转录网络基序的推断Inference in hierarchical transcriptional network motifs |
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课程网址: | https://videolectures.net/videos/mlsb2010_ocone_iht |
主讲教师: | Andrea Ocone |
开课单位: | 信息不详。欢迎您在右侧留言补充。 |
开课时间: | 2010-11-08 |
课程语种: | 英语 |
中文简介: | 我们提出了一种新的推理方法论来逆向工程分级网络图案(如前馈循环)中转录因子(TF)的动力学。我们提出的方法基于系统的连续时间表示,其中高级主TF表示为驱动微分方程系统的两状态马尔可夫跳跃过程。我们提出了一种近似变分推理算法,并在现实模拟数据集上显示了有希望的初步结果。 |
课程简介: | We present a novel inference methodology to reverse engineer the dynamics of transcription factors (TFs) in hierarchical network motifs such as feed-forward loops. The approach we present is based on a continuous time representation of the system where the high level master TF is represented as a two state Markov jump process driving a system of differential equations. We present an approximate variational inference algorithm and show promising preliminary results on a realistic simulated data set. |
关 键 词: | 转录因子动力学; 分级网络图案; 近似变分推理算法 |
课程来源: | vidiolectures |
数据采集: | 2025-02-25:yuhongrui |
最后编审: | 2025-02-25:yuhongrui |
阅读次数: | 1 |