VOOZH about

URL: https://www.coursera.org/learn/genomic-data

⇱ Genomic Data Science and Clustering (Bioinformatics V) | Coursera


Genomic Data Science and Clustering (Bioinformatics V)

Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Genomic Data Science and Clustering (Bioinformatics V)

This course is part of Bioinformatics Specialization

17,418 already enrolled

Included with

β€’

Learn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.
4.1

94 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.1

94 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Bioinformatics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

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.

<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

5 videosβ€’Total 33 minutes
  • (Check Out Our Wacky Course Intro Video!)β€’3 minutes
  • Which Yeast Genes are Responsible for Wine Making? β€’6 minutes
  • Gene Expression Matrices β€’7 minutes
  • Clustering as an Optimization Problem β€’11 minutes
  • The Lloyd Algorithm for k-Means Clustering β€’5 minutes
2 readingsβ€’Total 10 minutes
  • Course Detailsβ€’10 minutes
  • Week 1 FAQs (Optional)β€’0 minutes
1 assignmentβ€’Total 20 minutes
  • Week 1 Quizβ€’20 minutes
2 app itemsβ€’Total 210 minutes
  • Interactive Text for Week 1β€’210 minutes
  • Open in order to Sync Your Progress: Interactive Text for Week 1β€’0 minutes

<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

5 videosβ€’Total 35 minutes
  • From Hard to Soft Clustering β€’12 minutes
  • From Coin Flipping to k-Means Clustering β€’5 minutes
  • Expectation Maximization β€’8 minutes
  • Soft k-Means Clustering β€’3 minutes
  • Hierarchical Clustering β€’8 minutes
1 reading
  • Week 2 FAQs (Optional)β€’0 minutes
1 assignmentβ€’Total 15 minutes
  • Week 2 Quizβ€’15 minutes
2 app itemsβ€’Total 210 minutes
  • Interactive Text for Week 2β€’210 minutes
  • Open in order to Sync Your Progress: Interactive Text for Week 2β€’0 minutes

What's included

2 readings1 assignment

2 readingsβ€’Total 20 minutes
  • Statement on This Week's Materialβ€’10 minutes
  • How Have Humans Populated the Earth?β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Week 3 Quizβ€’30 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Instructor ratings
4.0 (7 ratings)
University of California San Diego
16 Coursesβ€’910,792 learners

Explore more from Health Informatics

Why people choose Coursera for their career

πŸ‘ Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
πŸ‘ Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
πŸ‘ Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
πŸ‘ Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

  • 5 stars

    50%

  • 4 stars

    27.65%

  • 3 stars

    11.70%

  • 2 stars

    3.19%

  • 1 star

    7.44%

Showing 3 of 94

HW
Β·

Reviewed on Jun 9, 2017

the part about EM is the best I know, and first time I understand the EM algorithm.

ZX
Β·

Reviewed on Jul 20, 2019

In depth and comprehensive coverage of the topics in genetic data analysis.

MK
Β·

Reviewed on Nov 10, 2018

Absolutely fantastic course. Kudos to the course creators.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,