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Visualising trees to choose clusters for scRNA-seq data Luke Zappia @_lazappi_

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NPHS1

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Cell cycle SC3 stability Number of genes

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Summary Choosing the number of clusters is hard but important A clustering tree can help by showing: - Relationships between clusters - Which clusters are distinct - Where samples are changing Compact, information dense visualisation - Alternative to t-SNE plots (or similar)

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Acknowledgements Everyone that makes tools and data available MCRI Bioinformatics Belinda Phipson MCRI KDDR Alex Combes @_lazappi_ oshlacklab.com lazappi.github.io/clustree Paper doi.org/10.1093/gigascience/giy083 Slides tinyurl.com/abacbs2018-clustree Supervisors Alicia Oshlack Melissa Little