Abstract
Glass, a post-doctoral researcher, and Amouzgar, a PhD student, in Bendall lab proposed a supervised dimensionality reduction method to explore and analyze single-cell data. Their Patterns paper highlights the advantages of supervised learning in single-cell datasets with class labels. They talk about the essential role of data science in this project and in their lives.
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