分层转录网络图案的推论Inference in hierarchical transcriptional network motifs |
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课程网址: | http://videolectures.net/mlsb2010_ocone_iht/ |
主讲教师: | Andrea Ocone |
开课单位: | 爱丁堡大学 |
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,用于在诸如前馈循环的分层网络模型中反转引擎转录因子(TF)的动态。我们提出的方法基于系统的连续时间表示,其中高级主控TF被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的变分推理算法,并在实际仿真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: | 前馈循环; 分层网络模型; 变分推理 |
课程来源: | 视频讲座网 |
最后编审: | 2019-07-02:cwx |
阅读次数: | 47 |