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Lecture 10
Differential gene expression

Date: Sep 26, 2024

This lecture explores differential gene expression analysis, a powerful approach for uncovering the molecular basis of biological phenomena.

Learning objectives

What you should be able to do after today's lecture:

  1. Define differential gene expression and explain its importance.
  2. Describe the statistical principles underlying differential expression analysis.
  3. Outline the steps in a typical differential expression analysis workflow.
  4. Explain key concepts such as fold change, p-value, and false discovery rate.
  5. Interpret common visualizations used in differential expression analysis.

Readings

Relevant content for today's lecture.

  • None! Just the slides.

Presentation