Computational challenges and opportunities in spatially resolved transcriptomic data analysis

Lyla Atta and Jean Fan ()
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Lyla Atta: Johns Hopkins University
Jean Fan: Johns Hopkins University

Nature Communications, 2021, vol. 12, issue 1, 1-5

Abstract: Spatially resolved transcriptomic data demand new computational analysis methods to derive biological insights. Here, we comment on these associated computational challenges as well as highlight the opportunities for standardized benchmarking metrics and data-sharing infrastructure in spurring innovation moving forward.

Date: 2021
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DOI: 10.1038/s41467-021-25557-9

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