Integration of unpaired single cell omics data by deep transfer graph convolutional network
Integration of unpaired single cell omics data by deep transfer graph convolutional network
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United States: Public Library of Science
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English
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United States: Public Library of Science
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The rapid advance of large-scale atlas-level single cell RNA sequences and single-cell chromatin accessibility data provide extraordinary avenues to broad and deep insight into complex biological mechanism. Leveraging the datasets and transfering labels from scRNA-seq to scATAC-seq will empower the exploration of single-cell omics data. However, th...
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Integration of unpaired single cell omics data by deep transfer graph convolutional network
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TN_cdi_doaj_primary_oai_doaj_org_article_cdd56f02b8b7495f8d24bfd1eec94bbd
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cdd56f02b8b7495f8d24bfd1eec94bbd
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ISSN
1553-7358,1553-734X
E-ISSN
1553-7358
DOI
10.1371/journal.pcbi.1012625
