Iterative single-cell multi-omic integration using online learning
Iterative single-cell multi-omic integration using online learning
About this item
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Author / Creator
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publication information
Publisher
New York: Nature Publishing Group US
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More information
Scope and Contents
Contents
Integrating large single-cell gene expression, chromatin accessibility and DNA methylation datasets requires general and scalable computational approaches. Here we describe online integrative non-negative matrix factorization (iNMF), an algorithm for integrating large, diverse and continually arriving single-cell datasets. Our approach scales to ar...
Alternative Titles
Full title
Iterative single-cell multi-omic integration using online learning
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8355612
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8355612
Other Identifiers
ISSN
1087-0156
E-ISSN
1546-1696
DOI
10.1038/s41587-021-00867-x
