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第 5 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

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初級

完成時間大約為9 小時

英語(English)

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學習Course的學生是
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User
學習Course的學生是
  • Biologists
  • Scientists
  • Researchers
  • Data Scientists
  • Research Assistants

第 5 門課程(共 7 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為9 小時

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 5 小時

Week 1: Introduction to Clustering Algorithms

5 個視頻 (總計 33 分鐘), 2 個閱讀材料, 3 個測驗
5 個視頻
Which Yeast Genes are Responsible for Wine Making? 6分鐘
Gene Expression Matrices 6分鐘
Clustering as an Optimization Problem 10分鐘
The Lloyd Algorithm for k-Means Clustering 5分鐘
2 個閱讀材料
Course Details10分鐘
Week 1 FAQs (Optional)
1 個練習
Week 1 Quiz20分鐘
2
完成時間為 4 小時

Week 2: Advanced Clustering Techniques

5 個視頻 (總計 35 分鐘), 1 個閱讀材料, 3 個測驗
5 個視頻
From Coin Flipping to k-Means Clustering 4分鐘
Expectation Maximization 7分鐘
Soft k-Means Clustering 3分鐘
Hierarchical Clustering 7分鐘
1 個閱讀材料
Week 2 FAQs (Optional)
1 個練習
Week 2 Quiz15分鐘
3
完成時間為 1 小時

Week 3: Introductory Algorithms in Population Genetics

2 個閱讀材料, 1 個測驗
2 個閱讀材料
Statement on This Week's Material10分鐘
How Have Humans Populated the Earth?10分鐘
1 個練習
Week 3 Quiz10分鐘
4.1
13 個審閱Chevron Right

33%

通過此課程獲得實實在在的工作福利

來自基因组数据科学和群集(生物信息学 V)的熱門評論

創建者 HWJun 10th 2017

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

創建者 ZXJul 21st 2019

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

講師

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Pavel Pevzner

Professor
Department of Computer Science and Engineering
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Phillip Compeau

Visiting Researcher
Department of Computer Science & Engineering

關於 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....

關於 生物信息学 專項課程

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!...
生物信息学

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