从实验和自然遗传扰动中重建网络Reconstructing networks from experimental and natural genetic perturbations |
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课程网址: | http://videolectures.net/licsb2010_markowetz_rne/ |
主讲教师: | Florian Markowetz |
开课单位: | 剑桥大学 |
开课时间: | 2010-05-03 |
课程语种: | 英语 |
中文简介: | 功能基因组学通过分析细胞对各种干扰的反应,在推断细胞内部工作方面已经取得了相当大的成功。干扰可以采取实验干预的形式,如基因缺失或RNA干扰,或自然干扰,如单核苷酸多态性或拷贝数改变。在我的演讲中,我将描述我的实验室从基因扰动的表型效应中重建网络的方法。特别是,我将(1)描述嵌套效应模型,从下游效应重建信号通路的一类概率图形,以及(2)介绍将拷贝数变化对基因表达的影响与乳腺癌不同亚型相关联的方法。 |
课程简介: | Functional genomics has demonstrated considerable success in inferring the inner working of a cell through analysis of its response to various perturbations. Perturbations can take the form of experimental interventions, like gene deletions or RNA interference, or natural perturbations, like SNPs or copy-number alterations. In my talk I will describe methods my lab has developed to reconstruct networks from the phenotypic effects of gene perturbations. In particular, I will (1) describe Nested Effects Models, a class of probabilistic graphical to reconstruct signaling pathways from downstream effects, and (2) introduce methods to correlate the impact of copy-number variation on gene expression with different sub-types of breast cancer. |
关 键 词: | 功能基因组学; 重建网络; 基因扰动; 概率图形 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-19:cxin |
阅读次数: | 25 |