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Вернуться к Genomic Data Science and Clustering (Bioinformatics V)

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

4.2
Оценки: 43
Рецензии: 10

Об этом курсе

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....

Лучшие рецензии

автор: HW

Jun 10, 2017

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

автор: MK

Nov 11, 2018

Absolutely fantastic course. Kudos to the course creators.

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Рецензии: 10

автор: Michael Kessler

Nov 11, 2018

Absolutely fantastic course. Kudos to the course creators.

автор: clearclouds

Sep 13, 2018

good course

автор: Ahmet Can Boyraz

Feb 02, 2018

Lack of explanations of the contents.

автор: Mihai Alexandru-Ionut

Jan 12, 2018

Awesome course!

автор: Ahmad Mohammed Yusuf Alaghbary

Dec 20, 2017

very excellent course

автор: Mark Eirik Scortegagna Joselli

Sep 28, 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!

автор: Weidong Xu

Jul 03, 2017

very good.

автор: Erika Lorena Álvarez Ramírez

Jun 23, 2017

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

автор: Hao Wu

Jun 10, 2017

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

автор: Qiyue Wang

May 22, 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.