Everything, All at Once: Processing Spatial Transcriptomics Data using Accelerated Computing

The potential clinical benefits of combining the power of mRNA expression with the rich context of tissue morphology are considerable. Equally impressive is the amount of data preparation and processing needed to perform this analysis. In the absence of well-established pipelines dedicated to this analysis, scientists often have to make do with their own curated set of tools and techniques. Learn how RAPIDS and compatible tools can be used to address the key steps in the process, reducing the time to turn biological mysteries into actionable insights.
Prerequisite(s):

Python experience

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