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Combining Data Types (eQTL) (6:04)

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来自 Johns Hopkins University 的课程
Statistics for Genomic Data Science
140 个评分
Johns Hopkins University

Statistics for Genomic Data Science

140 个评分
课程 7（共 8 门，Specialization 基因组数据科学）
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

与讲师见面

  • Jeff Leek, PhD
    Jeff Leek, PhD
    Associate Professor, Biostatistics
    Bloomberg School of Public Health

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