ABI OMICSS Guide 2022
Search
⌃
K
WELCOME
Week 1
Molecular Biology
R Programming
Week 2
Molecular Biology
R Programming
Exam 1
Week 3
Molecular Biology
R Programming
R Programming
Week 4
Molecular Biology
Exam 2
Week 5
Statistics and R
Experimental Techniques
Week 6
Statistics and R
*Getting started for Introduction to inference
Introduction to Inference
t-distribution and Comparing Means
ANOVA
Covariance and Correlation
Linear Regression
Experimental Techniques
Exam 3
Week 7
Bioinformatics algorithms
Week 8
Command-line tools for genomics
Week 9
NGS: alignment and sequence variations
Week 10
RNA sequencing and gene expression analysis
Exam 4
Concluding remarks
Congratulations!
Powered By
GitBook
Statistics and R
We pick up where we left off in week 5 of statistics.
What Are the Learning Outcomes of This Week?
By the end of this week, you should:
Have fundamental knowledge of random variables
Central Limit Theorem
Know the difference between significance and confidence level
Have a solid understanding of linear models
Previous
Gel Electrophoresis
Next
*Getting started for Introduction to inference
Last modified
1mo ago
