Featurizing Multi-Sample CyTOF Datasets to Predict Clinical and Experimental Phenotypes
September 27 @ 2:00 pm - 3:00 pm UTC-5
This talk introduces fully automated featurization or summarization approaches for encoding properties of diverse immune cell-types and their functional states assayed through single-cell immune profiling techniques, such as CyTOF. The algorithms introduced enable compact summarization of each sample profiled in a multi-sample single-cell datasets, such as these representations can be used to predict clinical or experimental phenotypes. We will discuss applications of these methods in applications such as neurodegeneration, pathological pregnancies, and surgical recovery.
Natalie Stanley, Ph.D.
UNC Chapel Hill
Hybrid Available – https://vanderbilt.zoom.us/j/97204868976
Passcode – 693702
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