Lecture

Lesson learning objectives

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


Hands-on Component

Our in-class hands-on component will analyze our spatial transcriptomics datasets to create a data visualization using k-means clustering.


Class Notes

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

Prof. Fan’s code from class: code-lesson-7.R (click to download)


Homework Assignment

None.