Deep generative modeling for quantifying sample-level heterogeneity in single-cell omics
Deep generative modeling for quantifying sample-level heterogeneity in single-cell omics
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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English
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Publisher
Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Contents
Contemporary single-cell omics technologies have enabled complex experimental designs incorporating hundreds of samples accompanied by detailed information on sample-level conditions. Current approaches for analyzing condition-level heterogeneity in these experiments often rely on a simplification of the data such as an aggregation at the cell-type...
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Full title
Deep generative modeling for quantifying sample-level heterogeneity in single-cell omics
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TN_cdi_proquest_journals_2721999001
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2721999001
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DOI
10.1101/2022.10.04.510898
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https://www.proquest.com/docview/2721999001?pq-origsite=primo&accountid=13902
