PCA: Theory and Practice
It is time for the third installment of the 3 Bee’s workshop series from SLUBI and the SLU Centre for Statistics.
This time we will learn more about PCA’s!
Adam will presents a short lecture on the theory behind PCA’s and what we can learn from them, and Lizel shows some commonly used R tools used to compute PCA’s on different kinds of data with an emphasis on data from an RNA sequencing project.
When: Monday Dec 11th, 09:30
Where: Campus Alnarp, Horticum, sal Triticum
or via Zoom (Password: 410 410)
Preparation: You are welcome to just come and listen. If you would like to participate, please ensure that you have a working RStudio installed on your computer. Please install the following libraries in R with these easy commands:
if (!requireNamespace('BiocManager', quietly = TRUE)) install.packages('BiocManager') BiocManager::install('PCAtools') BiocManager::install("airway") BiocManager::install("org.Hs.eg.db") BiocManager::install("DESeq2") install.packages("tidyverse") install.packages("magrittr")
Material: This time, we follow this tutorial where we focus on using a PCA on RNASeq data. The methods we show here are applicable for all kinds of data- not just RNASeq.
All materials are available on Github.
