Zero-preserving imputation of single-cell RNA-seq data
Zero-preserving imputation of single-cell RNA-seq data
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
A key challenge in analyzing single cell RNA-sequencing data is the large number of false zeros, where genes actually expressed in a given cell are incorrectly measured as unexpressed. We present a method based on low-rank matrix approximation which imputes these values while preserving biologically non-expressed genes (true biological zeros) at ze...
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Full title
Zero-preserving imputation of single-cell RNA-seq data
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TN_cdi_doaj_primary_oai_doaj_org_article_f22657b2a43a4a529d2ffb2b9a0fba0e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f22657b2a43a4a529d2ffb2b9a0fba0e
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-27729-z
