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第1章:Week one
课时1：1.1An Example of High-throughput Data
06:53
课时2：1.2The challenge of multiple testing
08:26
课时3：1.3p-values Are Random Variables
03:22
第2章:Week two
课时1：2.1Error Rates and Procedures
04:26
课时2：2.2Error Rates and Procedures Examples
05:36
课时3：2.3Bonferroni Correction
03:52
课时4：2.4False Discovery Rate and Benjamini–Hochberg procedure
08:05
课时5：2.5q-values
04:05
第3章:Week three
课时1：3.1Introduction to Statistical Models
05:10
课时2：3.2Poisson Example from RNA-seq
04:20
课时3：3.3Maximum Likelihood Estimate
04:47
课时4：3.4Models for Variance
03:50
第4章:Week four
课时1：4.1Bayes' Rule
05:53
课时2：4.2Bayes' Rule in Practice
09:58
课时3：4.3Hierarchical Models in Practice
04:55
课时4：4.4Plots：Volcano plots and p-value histograms, boxplots, and MAplots
08:58
兰州大学
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