Integrating multiple spatial transcriptomics data using community-enhanced graph contrastive learnin...
Integrating multiple spatial transcriptomics data using community-enhanced graph contrastive learning
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United States: Public Library of Science
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Language
English
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United States: Public Library of Science
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Contents
Due to the rapid development of spatial sequencing technologies, large amounts of spatial transcriptomic datasets have been generated across various technological platforms or different biological conditions (e.g., control vs. treatment). Spatial transcriptomics data coming from different platforms usually has different resolutions. Moreover, curre...
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Integrating multiple spatial transcriptomics data using community-enhanced graph contrastive learning
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TN_cdi_doaj_primary_oai_doaj_org_article_31c476d5f9444a12826b57f8225f9376
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_31c476d5f9444a12826b57f8225f9376
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1012948