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Molecular (Omics) Data Analysis


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Omics aims to understand biological processes by leveraging high-throughput technologies and data science. Aided by subject matter expertise, this combination has resulted in accelerated discoveries in health and disease. In this session we will go through the characteristics of the molecular data generated by some of this technologies and the fundamental processing and statistical analysis tools (including machine learning methods) that can be used to generate knowledge from these complex, high-dimensional data. Use cases include analysis of gene expression, microbiome, and proteomics data.

Please register if you would like to join; we will send instructions about the virtual session to all registrants in advance.


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Status Archived
Date Wednesday, April 8th, 2020
Time 4:30pm - 6:30pm
Location Virtual Classroom
Leader Ricardo Henao
Enrolled 150