0


生物网络监督重建

Supervised reconstruction of biological networks
课程网址: http://videolectures.net/mlsb07_vert_srb/  
主讲教师: Jean-Philippe Vert
开课单位: 国立巴黎高等矿业学院
开课时间: 2007-11-20
课程语种: 英语
中文简介:
从大规模异构数据推断或重建各种生物网络,包括调节,信号或代谢途径,目前是一个活跃的研究课题,在系统生物学中有几个重要的应用。虽然到目前为止提出的几种方法都将这个问题视为从基因组数据中推断出一个图形,我将在本次讨论中争辩说,感兴趣的网络通常是部分已知的,并且重建过程应该使用这种部分知识来指导推断缺少边缘。然后,我将回顾这种范式如何自然地导致用于图形推理的各种监督机器学习算法,并通过几个成功预测代谢网络中缺失酶的几个例子来说明该方法的相关性。
课程简介: The inference or reconstruction of various biological networks, including regulatory, signalling or metabolic pathways, from large-scale heterogeneous data is currently an active research subject with several important applications in systems biology. While several approaches proposed so far cast this problem as inferring a graph de novo from genomic data, I will argue in this talk that the network of interest is often partially known and that the reconstruction process should use this partial knowledge to guide the inference of the missing edges. I will then review how this paradigm leads naturally to various supervised machine learning algorithms for graph inference, and illustrate the relevance of the approach through several examples of successful prediction of missing enzymes in metabolic networks.
关 键 词: 生物信息学; 计算系统生物学; 生物网络
课程来源: 视频讲座网
最后编审: 2020-06-29:yumf
阅读次数: 57