基因组数据科学和群集(生物信息学 V)

Genomic Data Science and Clustering (Bioinformatics V)

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加州大学圣地亚哥分校
Coursera
  • 完成时间大约为 10 个小时
  • 初级
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

课程概况

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class, we will see that these two seemingly different questions can be addressed using similar algorithmic and machine learning techniques arising from the general problem of dividing data points into distinct clusters.

In the first half of the course, we will introduce algorithms for clustering a group of objects into a collection of clusters based on their similarity, a classic problem in data science, and see how these algorithms can be applied to gene expression data.

In the second half of the course, we will introduce another classic tool in data science called principal components analysis that can be used to preprocess multidimensional data before clustering in an effort to greatly reduce the number dimensions without losing much of the “signal” in the data.

Finally, you will learn how to apply popular bioinformatics software tools to solve a real problem in clustering.

课程大纲

周1
完成时间为 5 小时
Week 1: Introduction to Clustering Algorithms

周2
完成时间为 4 小时
Week 2: Advanced Clustering Techniques

周3
完成时间为 1 小时
Week 3: Introductory Algorithms in Population Genetics

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