Data Science Training Program
May 11-May 12, 2020

Learning Objectives

  1. How to go from a matrix of raw gene expression counts to differentially expressed genes.
  2. How to analyze experimental designs that go beyond 2-group comparisons using edgeR’s generalized linear modeling capabilities. 
  3. Ways to test specific hypotheses using a joint model fit. 

A minimum of 4 to 6 months experience programming in R and attended the RNAseq Analysis in R workshop or equivalent.

Learning Path
This is an intermediate workshop in the RNA-Seq Analysis series. Prior experience with RNA-Seq analysis is required. See introductory workshop: Introduction to RNA-Seq Analysis.


Note: This workshop will be held over 2 days, May 11–12, 2020. Attendance in the first session is mandatory in order to attend the second session.


May 11-May 12, 2020

The Gladstone Data Science Training Program was started in 2018 to provide trainees with learning opportunities and hands-on workshops to improve their skills in bioinformatics and computational analysis. This program offers a series of workshops throughout the year to enable trainees to gain new skills and get support with their questions and data.