Robust integration of multiple single-cell RNA sequencing datasets using a single reference space
Robust integration of multiple single-cell RNA sequencing datasets using a single reference space
About this item
Full title
Author / Creator
Liu, Yang , Wang, Tao , Zhou, Bin and Zheng, Deyou
Publisher
New York: Nature Publishing Group US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Nature Publishing Group US
Subjects
More information
Scope and Contents
Contents
In many biological applications of single-cell RNA sequencing (scRNA-seq), an integrated analysis of data from multiple batches or studies is necessary. Current methods typically achieve integration using shared cell types or covariance correlation between datasets, which can distort biological signals. Here we introduce an algorithm that uses the...
Alternative Titles
Full title
Robust integration of multiple single-cell RNA sequencing datasets using a single reference space
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8456427
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8456427
Other Identifiers
ISSN
1087-0156
E-ISSN
1546-1696
DOI
10.1038/s41587-021-00859-x
