Lecture 7

7.0 Lesson learning objectives

By the end of this lesson, we should become more comfortable with interpreting our clusters identified from our analysis pipeline thus far using differential gene expression. We will also perform differential expression analysis, learn how to create different data visualizations to summarize our analysis, and use these visualizations and summaries to evaluate our analysis pipeline.

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Hands-on component 7

Our in-class hands-on component will analyze our spatial transcriptomics dataset to identify differentially expressed genes and make data visualizations.

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Class Lesson Notes 7

Prof. Fan’s notes from class: genomic-data-visualization-Lesson_7.pptx (click to download)

Prof. Fan’s code from class: code-02-08-2023.R (click to download)

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Homework Assignment 7

Learn from your classmates: You will be assigned to critique a data visualization made by a teammate. Please remember to be constructive in your critique.

genomic-data-visualization-HW_4.pptx (click to download)

Use the same process from HW2 for what is expected and how to submit your homework to the folder hw4/.

Make a pull request to submit your homework (due Friday Midnight).