Lecture 9

9.0 Lesson learning objectives

We will also continue performing differential expression analysis. We will 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 9

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 9

Prof. Fan’s notes from class: genomic-data-visualization-Lesson_9.pptx (click to download)

Prof. Fan’s code from class: code-02-13-2023.R (click to download)

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Homework Assignment 9

Perform kmeans clustering on your data. Pick ONE cluster and figure out what cell-type it corresponds to. Create a data visualization and write a description to convince me that your cell-type interpretation is correct.

See slides for more details on what is expected: genomic-data-visualization-HW_5.pptx (click to download)

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