0


生物信息学概论

Introduction to bioinformatics
课程网址: http://videolectures.net/mlss07_gunnar_intbio/  
主讲教师: Gunnar Rätsch
开课单位: 马克斯普朗克研究所
开课时间: 2007-08-20
课程语种: 英语
中文简介:
我将首先对生物信息学进行一般性介绍,包括基础生物学,典型数据类型(序列,结构,表达数据和网络)和已建立的分析任务。在第二部分中,我将讨论使用支持向量机(SVM)进行预测序列分析的问题。我将介绍一系列适用于不同分析任务的内核。此外,我将讨论大规模学习所需的基本数据结构以及如何将内核组合到异构数据中。在第三部分中,我将重点介绍隐马尔可夫模型和有条件的随机字段和隐马尔可夫SVM的判别性替代方案,适用于生物信息学中经常出现的分割任务。在最后一部分中,我将更详细地介绍三个应用:大边缘对齐算法,计算基因发现和重测序阵列的多态性识别。
课程简介: I will start by giving a general introduction into Bioinformatics, including basic biology, typical data types (sequences, structures, expression data and networks) and established analysis tasks. In the second part, I will discuss the problem of predictive sequence analysis with Support Vector Machines (SVMs). I will introduce a series of kernels suitable for different analysis tasks. Furthermore I will discuss the basic data structures needed for large scale learning and how to combine kernels for heterogeneous data. In the third part, I will focus on Hidden Markov models and discriminative alternatives like Conditional Random Fields and Hidden Markov SVMs suitable for segmentation tasks frequently appearing in Bioinformatics. In the last part I will present three applications in greater detail: A large margin alignment algorithm, computational gene finding and the identification of polymorphisms from resequencing arrays.
关 键 词: 生物信息学; 典型数据; 异构数据
课程来源: 视频讲座网
最后编审: 2019-07-24:cwx
阅读次数: 15