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.
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Bioinformatics SpecializationUniversity of California San DiegoAbout this Course
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Learner Career Outcomes
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Flexible deadlines
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Beginner Level
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Learner Career Outcomes
33%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 7 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish
Offered by
University of California San Diego
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.
Syllabus - What you will learn from this course
5 hours to complete
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>
5 hours to complete
5 videos (Total 33 min), 2 readings, 3 quizzes
5 videos
Which Yeast Genes are Responsible for Wine Making? 6m
Gene Expression Matrices 6m
Clustering as an Optimization Problem 10m
The Lloyd Algorithm for k-Means Clustering 5m
2 readings
Course Details10m
Week 1 FAQs (Optional)
1 practice exercise
Week 1 Quiz20m
4 hours to complete
Week 2: Advanced Clustering Techniques
<p>Welcome to week 2 of class!</p>
4 hours to complete
5 videos (Total 35 min), 1 reading, 3 quizzes
5 videos
From Coin Flipping to k-Means Clustering 4m
Expectation Maximization 7m
Soft k-Means Clustering 3m
Hierarchical Clustering 7m
1 reading
Week 2 FAQs (Optional)
1 practice exercise
Week 2 Quiz15m
1 hour to complete
Week 3: Introductory Algorithms in Population Genetics
1 hour to complete
2 readings
2 readings
Statement on This Week's Material10m
How Have Humans Populated the Earth?10m
1 practice exercise
Week 3 Quiz30m
Reviews
TOP REVIEWS FROM GENOMIC DATA SCIENCE AND CLUSTERING (BIOINFORMATICS V)
by DDOct 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 :)
by QWMay 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.
by JMMar 21, 2020
Really enjoyed the clustering chapters and the practical exercises with the yeast dataset
by ZXJul 20, 2019
In depth and comprehensive coverage of the topics in genetic data analysis.
About the Bioinformatics Specialization
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