University of California San Diego
Genomic Data Science and Clustering (Bioinformatics V)
University of California San Diego

Genomic Data Science and Clustering (Bioinformatics V)

This course is part of Bioinformatics Specialization

Pavel  Pevzner
Phillip Compeau

Instructors: Pavel Pevzner

16,109 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.2

(91 reviews)

Intermediate level
Some related experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.2

(91 reviews)

Intermediate level
Some related experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

Details to know

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Assessments

3 assignments

Taught in English

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This course is part of the Bioinformatics Specialization
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There are 3 modules in this course

<p>Welcome to class!</p><p>At the beginning of the class, we will see how algorithms for&nbsp;<strong>clustering&nbsp;</strong>a set of data points&nbsp;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? &nbsp;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>

What's included

5 videos2 readings1 assignment2 app items

<p>Welcome to week 2 of class!</p> <p>This week, we will see how we can move from a "hard" assignment of points to clusters toward a "soft" assignment that allows the boundaries of the clusters to blend. We will also see how to adapt the Lloyd algorithm that we encountered in the first week in order to produce an algorithm for soft clustering. We will also see another clustering algorithm called "hierarchical clustering" that groups objects into larger and larger clusters.</p>

What's included

5 videos1 reading1 assignment2 app items

What's included

2 readings1 assignment

Instructors

Instructor ratings
4.0 (7 ratings)
Pavel  Pevzner
University of California San Diego
16 Courses829,434 learners

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4.2

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