Lecture 4

4.0 Lesson learning objectives

By the end of this lesson, we should understand what is principal components analysis and how to apply it to our spatial transcriptomic datasets.

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Hands-on component 4

Our in-class hands-on component will involve analyzing our spatial transcriptomics dataset using principal components analysis to create a data visualization.

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Class Lesson Notes 4

Prof. Fan’s whiteboard notes from class: (for some reason it didn’t save; please refer to recording instead)

Prof. Fan’s code from class: code-02-01-2023.R (click to download)

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Homework Assignment 4

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_2.pptx (click to download)

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