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Quantile Normalization (in R) (4:49)

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來自 Johns Hopkins University 的課程
Statistics for Genomic Data Science
140 個評分
Johns Hopkins University

Statistics for Genomic Data Science

140 個評分
課程 7（共 8 門，Specialization 基因组数据科学）
從本節課中
Module 2
This week we will cover preprocessing, linear modeling, and batch effects.
Module 2 Overview (1:12)1:12
Dimension Reduction (12:13)12:13
Dimension Reduction (in R) (8:48)8:48
Pre-processing and Normalization (11:26)11:26
Quantile Normalization (in R) (4:49)4:49
The Linear Model (6:50)6:50
Linear Models with Categorical Covariates (4:08)4:08
Adjusting for Covariates (4:16)4:16
Linear Regression in R (13:03)13:03
Many Regressions at Once (3:50)3:50
Many Regressions in R (7:21)7:21
Batch Effects and Confounders (7:11)7:11
Batch Effects in R: Part A (8:18)8:18
Batch Effects in R: Part B (3:50)3:50

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

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