Data Science Training Program
Reuben Thomas
This two session workshop will delve into three concepts/techniques used in the analysis of RNA-seq data. Normalization and batch correction methods followed by statistical models used for the analyses of RNA-seq data generated under repeated measures scenarios (e.g., longitudinal data) will be covered.
Requirements
- Prior attendance at bulk RNA-seq and Linear Mixed Effects Models workshops, or experience with analysis of transcriptomics data and also with data generated under repeated measures scenarios
- Familiarity with R and RStudio (e.g., reading in files, working with lists and dataframes)
Advanced: This is an advanced workshop building upon the RNA-Seq Analysis series. Prior experience with scRNA-seq or bulk RNA-seq is required. See introductory and intermediate workshops in the RNA-Seq Analysis series. Also check out materials for the Linear Mixed Effects Models in R workshop.
Visit the workshop site for more details and materials.
Details
Contact(s)
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.
Diversity, Equity, and Inclusion
At Gladstone, we are committed to providing events and professional development activities that resonate with our community’s diverse members. Our goal is to develop creative programming that encompasses a wide variety of ideas and perspectives to inspire, educate, and engage with everyone within our walls.
We want to effect positive change through our events and activities by providing a platform for discussions on important topics related to increasing diversity and inclusiveness in the sciences.