Skip to main content

Beta This lesson is in the beta phase, which means that it is ready for teaching by instructors outside of the original author team.

Inference for High-dimensional Data

Inference for High-dimensional Data
Key Points
Glossary
Learner Profiles
- Reference

Search the All In One page

Inference for High-dimensional Data

NA%

Instructor View

EPISODES

Summary and Setup

1. Example Gene Expression Datasets

2. Basic inference for high-throughput data

3. Procedures for Multiple Comparisons

4. Error Rates

5. The Bonferroni Correction

6. False Discovery Rate

7. Direct Approach to FDR and q-values

8. Basic EDA for high-throughput data

9. Principal Components Analysis

10. Statistical Models

Key Points
Glossary
Learner Profiles
Reference

See all in one page

Previous Next

Reference

Last updated on 2025-09-23 | Edit this page

Glossary

This is a placeholder file. Please add content here.

Previous Next

This lesson is subject to the Code of Conduct

Edit on GitHub | Contributing | Source

Cite | Contact | About

Materials licensed under CC-BY 4.0 by the authors

Template licensed under CC-BY 4.0 by The Carpentries

Built with sandpaper (0.17.1), pegboard (0.7.9), and varnish (1.0.7)