Webinar Using PCA, HCA and OPLS-(DA) in Medical Research

Using PCA, HCA and OPLS-(DA) in Medical Research: Examples from the Ongoing Quest for Chronic Pain Biomarkers

Pain being a subjective experience, the concept of biomarkers may seem counterintuitive in this context. However, as chronic pain has a biological basis, it should be possible to mirror biological changes associated with the development and maintenance of chronic pain in different body fluids. Examples from this research will be given, demonstrating the use of principal components analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal partial least square – (discriminant analysis) (OPLS-(DA)).

This session will cover the following topics:

PCA for quality control – a real-life example from a PhD thesis
Biomarker HCA as a tool to find (unexpected) clinically relevant subgroups
Exploration and replication using OPLS-(DA)

What You Will Learn:

Learn how to use PCA for quality control of data
Understand what Biomarker HCA means and how it can be used
Realize how OPLS-DA aids in exploration and replication

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Presenter

Emmanuel Bäckryd is senior associate professor of pain medicine at Linköping University and senior consultant in pain management at the Pain and Rehabilitation Centre. He has two decades of experience in pain care and is a member of the Painomics^® Research Group, https://liu.se/en/research/painomics.