14M136: STATS BOOTCAMP III Interpret and Visualize Multi-dimensional Omics Data

Monday, November 14, 2022

12:00 PM – 1:00 PM Eastern Time

Location: Room 119

CE: 1

All of the relevant financial relationships listed for faculty have been mitigated.

Moderator(s)

Michelle Yau, PhD, MPH

Hebrew SeniorLife
Boston, MA, United States

Disclosure(s): No financial relationships with ineligible companies to disclose

The goals of the session are to:

1. Provide an overview of different omics data
2. Provide the audience with an introduction to visualization techniques and common analytic methods used for downstream analysis of different data
3. Explain limitations of basic implementations
4. Provide overview of tools, platforms and other resources for analysis of high-dimensional data
5. Explain how to interpret and comprehend results generated by these tools

Learning Objectives:

Understand the types of questions researchers can ask using omics data. Identify common issues in dealing with high multidimensionality and basic implementations addressing these issues
Understand two-dimensional visualization of higher-dimensional omics data commonly used in research papers
Present a summary of results obtained by these methods

Presentations:

12:00 PM – 12:20 PM Eastern Time

Transform Omics Data into Therapeutic Ideas: Research Questions, Advances and Challenges
Speaker: Onyinye Iweala – University of North Carolina
12:20 PM – 12:40 PM Eastern Time

Interpretation and Visualization of Omics Data Analyses
Speaker: Liubov Arbeeva, MSc – University of North Carolina, Chapel Hill
12:40 PM – 1:00 PM Eastern Time

Q&A