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Differential Expression Analysis with limma in R Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Differential Expression Analysis with limma in R course offered by Data Camp you will learn to use the Bioconductor package limma for differential gene expression analysis.

Overview

Context

Functional genomic technologies like microarrays, sequencing, and mass spectrometry enable scientists to gather unbiased measurements of gene expression levels on a genome-wide scale. Whether you are generating your own data or want to explore the large number of publicly available data sets, you will first need to learn how to analyze these types of experiments. 

In this Differential Expression Analysis with limma in R course offered by Data Camp, you will learn how to pre-process the data, identify and correct for batch effects, visually assess the results, and perform enrichment testing. 

After completing this course, you will have general analysis strategies for gaining insight from any functional genomics study.

Programme Structure

Chapters

  • Differential Expression Analysis
  • Flexible Models for Common Study Designs
  • Pre- and post-processing
  • Case Study: Effect of Doxorubicin Treatment

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • This course is primarily aimed at intermediate level learners.
  • 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.

PREREQUISITES

  • Introduction to Statistics in R

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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