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.
生物信息学 专项课程加州大学圣地亚哥分校课程信息
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第 5 门课程（共 7 门）
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初级
完成时间大约为9 小时
英语（English）
字幕：英语（English）
学生职业成果
33%
通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 5 门课程（共 7 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
初级
完成时间大约为9 小时
英语（English）
字幕：英语（English）
提供方
加州大学圣地亚哥分校
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
教学大纲 - 您将从这门课程中学到什么
完成时间为 5 小时
Week 1: Introduction to Clustering Algorithms
<p>Welcome to class!</p><p>At the beginning of the class, we will see how algorithms for <strong>clustering </strong>a set of data points will help us determine how yeast became such good wine-makers. At the bottom of this email is the Bioinformatics Cartoon for this chapter, courtesy of <a href="http://bearandfox.com" target="_blank" title="Link: http://bearandfox.com">Randall Christopher</a> and serving as a chapter header in the Specialization's bestselling <a href="http://bioinformaticsalgorithms.com" target="_blank">print companion</a>. How did the monkey lose a wine-drinking contest to a tiny mammal? Why have Pavel and Phillip become cavemen? And will flipping a coin help them escape their eternal boredom until they can return to the present? Start learning to find out!</p><p><img width="550" alt="" src="http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg" title="Image: http://bioinformaticsalgorithms.com/images/cover/clustering_cropped.jpg"></p>
完成时间为 5 小时
5 个视频 （总计 33 分钟）, 2 个阅读材料, 3 个测验
5 个视频
Which Yeast Genes are Responsible for Wine Making? 6分钟
Gene Expression Matrices 6分钟
Clustering as an Optimization Problem 10分钟
The Lloyd Algorithm for k-Means Clustering 5分钟
2 个阅读材料
Course Details10分钟
Week 1 FAQs (Optional)
1 个练习
Week 1 Quiz20分钟
完成时间为 4 小时
Week 2: Advanced Clustering Techniques
<p>Welcome to week 2 of class!</p>
完成时间为 4 小时
5 个视频 （总计 35 分钟）, 1 个阅读材料, 3 个测验
5 个视频
From Coin Flipping to k-Means Clustering 4分钟
Expectation Maximization 7分钟
Soft k-Means Clustering 3分钟
Hierarchical Clustering 7分钟
1 个阅读材料
Week 2 FAQs (Optional)
1 个练习
Week 2 Quiz15分钟
完成时间为 1 小时
Week 3: Introductory Algorithms in Population Genetics
完成时间为 1 小时
2 个阅读材料
2 个阅读材料
Statement on This Week's Material10分钟
How Have Humans Populated the Earth?10分钟
1 个练习
Week 3 Quiz10分钟
审阅
来自基因组数据科学和群集（生物信息学 V）的热门评论
由 DD 提供Oct 23, 2019
Truly awesome. What I liked best was that this course didn't have a peer reviewed final challenge, so I didn't have to wait months until my work was graded :)
由 QW 提供May 21, 2017
The first two week was very good, but for week 3 I don't see the content has any connection with Genomic Data Science.
由 MK 提供May 14, 2020
Very interesting course! So inspiring :) Recommend for everyone who interested in bioinformatic
由 JM 提供Mar 21, 2020
Really enjoyed the clustering chapters and the practical exercises with the yeast dataset
关于 生物信息学 专项课程
Join Us in a Top 50 MOOC of All Time!
How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth?
When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science.
Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional!
Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video.
You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website.
Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!
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