Module 4 Overview (1:21) - Module 4 | Coursera

Module 4 Overview (1:21)

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基因组数据科学所需的统计学

约翰霍普金斯大学

4.2（296 个评分）

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27K 名学生已注册

课程 7（共 8 门，基因组数据科学专项课程）

An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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您将学习的技能

Statistics, Data Analysis, R Programming, Biostatistics

审阅

4.2（296 个评分）

5 stars
54.39%
4 stars
27.02%
3 stars
10.81%
2 stars
2.70%
1 star
5.06%

CJ

Jul 15, 2019

It is really great that told me lots of basic statistical information that I didn't know.

TK

Mar 24, 2019

Very good course and useful understanding statistical aspects of data.

从本节课中

Module 4

In this week we will cover a lot of the general pipelines people use to analyze specific data types like RNA-seq, GWAS, ChIP-Seq, and DNA Methylation studies.

Module 4 Overview (1:21)1:21

Gene Set Enrichment (4:19)4:19

More Enrichment (3:59)3:59

Gene Set Analysis in R (7:43)7:43

The Process for RNA-seq (3:59)3:59

The Process for Chip-Seq (5:25)5:25

The Process for DNA Methylation (5:03)5:03

The Process for GWAS/WGS (6:12)6:12

Combining Data Types (eQTL) (6:04)6:04

eQTL in R (10:36)10:36

Researcher Degrees of Freedom (5:49)5:49

Inference vs. Prediction (8:52)8:52

Knowing When to Get Help (2:31)2:31

Statistics for Genomic Data Science Wrap-Up (1:53)1:53

教学方

Jeff Leek, PhD
Associate Professor, Biostatistics

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