Benchmarking atlas-level data integration in single-cell genomics
Benchmarking atlas-level data integration in single-cell genomics
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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
Single-cell atlases often include samples that span locations, laboratories and conditions, leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires reliable data integration. To guide integration method choice, we benchmarked 68 method and preprocessing combinations on 85 batches of gene expression, chromat...
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Full title
Benchmarking atlas-level data integration in single-cell genomics
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8748196
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8748196
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-021-01336-8
