Image of cells

Date: Wednesday, July 28th, 2021

Time: 2:00PM - 3:30PM (EDT) 

Instructors: Rebecca Batorsky, PhD, Eric Reed, PhD, and Albert Tai, PhD

Learning Level: Fundamental

Primary Audience: Researchers, PIs, Postdoctoral and Graduate Students, Other Study Team Members

Prerequisite: Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Skills Domain: Data Management and Informatics, Scientific Concepts and Research Design

What are the three main types of functional analysis?

Functional and enrichment analyses are used to give a biological interpretation to a list of genes or proteins that may be produced from gene expression analysis. This session will introduce three main types of functional analysis and review common tools that are employed: Gene Ontology annotation and enrichment, Gene Set and Pathway enrichment, and network analysis. This course is part of a series of trainings in biomedical data science offered by the Center for Quantitative Methods and Data Science, Tufts Clinical and Translational Science Institute, and Tufts University Data Intensive Studies Center. For the full list of trainings in this series, please visit the Center for Quantitative Methods and Data Science webpage. Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Dates: Wednesday December 9th 12pm-1:00pm  
Location: Zoom  
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 This Course is Free