Differential Expression Analysis with limma in R
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Statistics in R
What You Will Learn
Learn to use the Bioconductor package limma for differential gene expression analysis
In this course, you will be taught how to use the versatile R/Bioconductor package limma to perform a differential expression analysis on the most common experimental designs
You will learn how to pre-process the data, identify and correct for batch effects, visually assess the results, and perform enrichment testing
Course Instructors
Course Reviews
Average Rating Based on 3 reviews
100%