scMAGIC: accurately annotating single cells using two rounds of reference-based classification
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Title
scMAGIC: accurately annotating single cells using two rounds of reference-based classification
Authors
Keywords
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Journal
NUCLEIC ACIDS RESEARCH
Volume -, Issue -, Pages -
Publisher
Oxford University Press (OUP)
Online
2021-12-15
DOI
10.1093/nar/gkab1275
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- (2018) S. Steven Potter Nature Reviews Nephrology
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