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The highs and lows of clustering single-cell biological data.

Tuesday, November 15, 2016 -
11:00 to 12:00
Josh Scurll, Mathematical Biology, UBC
Seminar
Room 4192, Earth Sciences Building (2207 Main Mall)

Unsupervised learning by clustering is a key tool for analyzing single-cell biological data. StormGraph is a clustering algorithm that we have developed to analyze protein clustering in single cells imaged using super-resolution microscopy. I will introduce the StormGraph algorithm and discuss its application to studying the nanoscale biology of Diffuse Large B-Cell Lymphoma (DLBCL), a clinically heterogeneous, aggressive blood cancer. I will also briefly discuss how we are looking to study heterogeneity in DLBCL tumours by clustering high-throughput, high-dimensional single-cell proteomic data, with implications for personalized medicine.