Squidpy: a scalable framework for spatial omics analysis
Squidpy: a scalable framework for spatial omics analysis
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Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Spatial omics data are advancing the study of tissue organization and cellular communication at an unprecedented scale. Flexible tools are required to store, integrate and visualize the large diversity of spatial omics data. Here, we present Squidpy, a Python framework that brings together tools from omics and image analysis to enable scalable desc...
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Squidpy: a scalable framework for spatial omics analysis
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8828470
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8828470
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-021-01358-2
