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Volver a Genomic Data Science and Clustering (Bioinformatics V)

Opiniones y comentarios de aprendices correspondientes a Genomic Data Science and Clustering (Bioinformatics V) por parte de Universidad de California en San Diego

4.2
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88 calificaciones

Acerca del Curso

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....

Principales reseñas

DD

23 de oct. de 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 :)

JM

21 de mar. de 2020

Really enjoyed the clustering chapters and the practical exercises with the yeast dataset

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1 - 22 de 22 revisiones para Genomic Data Science and Clustering (Bioinformatics V)

por Zack X

21 de jul. de 2019

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

por prachi

12 de ago. de 2020

Please add more example to understand the formaula to apply. Being from biology backgroud it was difficult to an extent. but the explanation to the content was very well given.

por Ho Y C

26 de jul. de 2019

This course is too Short and not up to date with deep learning

por Mark J

28 de sep. de 2017

Material are poor... missing information about content asked in the quiz... the forum is not moderated... and Quiz 2 have a problem with inputs!

por Ahmet C B

2 de feb. de 2018

Lack of explanations of the contents.

por MILK Z

3 de feb. de 2019

A nice course to learn clustering algorithm in bioinformatics, it will be better if you take the previous class. Just jump into this class without some pre-knowledge will be quite difficult.

por Daniel D

24 de oct. de 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 :)

por Erika L Á R

22 de jun. de 2017

as all the other courses of the specialization, this course is addictive, intelligent, and you learn a lot

por Maksym K

15 de may. de 2020

Very interesting course! So inspiring :) Recommend for everyone who interested in bioinformatic

por Jason M

22 de mar. de 2020

Really enjoyed the clustering chapters and the practical exercises with the yeast dataset

por Hao W

10 de jun. de 2017

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

por Michael K

11 de nov. de 2018

Absolutely fantastic course. Kudos to the course creators.

por Pavel O

1 de abr. de 2020

Good course to exercise you data science skills

por Ahmad M Y A

20 de dic. de 2017

very excellent course

por Mihai A

12 de ene. de 2018

Awesome course!

por ­박준형 / 학 / 컴

13 de sep. de 2018

good course

por Sakshar C

16 de jun. de 2020

The contents of the first two weeks are very well-organized and apprehendable. But the content of the third week was a bit difficult to follow due to the absence of an interactive text and lecture videos. I also wish that there were some code challenges for the last week. Now, the things I liked especially are the clustering algorithms and how the intuitions behind them were developed. I enjoyed implementing them and experimenting with the gene expression data of the diauxic shift in yeast. Another issue I must mention about the pdf provided as the last week's reading material that the embedded links do not work. Please fix them. I would love to play with the data and tools but could not.

por Yasmine E H

23 de jul. de 2020

The first two weeks were very enjoyable and instructive. However, the third week was unrelated to everything else and did not contain lecture videos which made understanding it very complicated. I also found difficulties in solving quiz 3.

por Qiyue W

22 de may. de 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.

por Weidong X

2 de jul. de 2017

very good.

por Jonathan N

16 de may. de 2022

Too hard, need more instructor guidance please.

por Mikaela G

13 de oct. de 2022

I don't feel like it explains things well. They show an algorithm but don't show an example problem using that algorithm very often. I felt like there was a textbook I was missing, but I read every slide and watched every video.