Flow cytometry (FCM) is a high-throughput single-cell biotechnology commonly used to study the immune system in clinical and research settings. We present solutions to two problems in an FCM data analysis pipeline. The first problem is to identify cell populations within FCM samples. The second problem is to pinpoint the biomarkers or cell populations that can be used to help classify FCM samples (e.g. diseased vs healthy). This thesis covers topics in computational biology and is intended for readers with basic knowledge in the field.
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Thesis advisor: Libbrecht, Maxwell
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