Sunday, August 27, 2023

11:00 AM - 12:30 PM

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Overview

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Dr Thomas Ashhurst: Computational analysis of high-dimensional cytometry data and Computational analysis of single-cell multiomics data (90 mins)

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Details

In this session, we will explore computational methods for the analysis of high-dimensional flow, spectral, or mass cytometry data. Specifically we will explore • Data pre-processing and transformations • Clustering (e.g. FlowSOM) • Dimensionality reduction (e.g. UMAP) and visualisation • Evaluating and correcting batch effects • Statistical testing While we will be using many examples of how to implement these approaches in R, the lessons will be at a conceptual level, and no prior experience in R or computational analysis is required.

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Speaker