Differential Expression Analysis with limma in R

Yes, upon successful completion, all course participants will receive a certificate verifying their achievement.

Professionals in the field of bioinformatics and functional genomics, who are tasked with analyzing genomic data and gaining insight from functional genomics studies, would benefit from this course.

This course covers topics such as goals of differential expression analysis, managing gene expression data in R and Bioconductor, running differential expression analysis with limma, constructing linear models to test for differential expression, normalizing and filtering the feature data, checking for technical batch effects, and performing enrichment testing.

The teaching method of this course includes step-by-step instruction and hands-on applications with videos, quizzes, exercises and expert feedback. At the end of the course, a case study will be used to test and confirm new-found skills.

Yes, prior programming experience in R is recommended before taking this course.

Yes, this course provides both in-text discussions and an online forum where you can ask for feedback from the course instructors and engage in conversations about the course material with fellow participants.