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False signals induced by single-cell imputation [version 2; peer review: 4 approved]

False signals induced by single-cell imputation [version 2; peer review: 4 approved]

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_287a7968b5df4e6a8e9de7bcfaa5de2d

False signals induced by single-cell imputation [version 2; peer review: 4 approved]

About this item

Full title

False signals induced by single-cell imputation [version 2; peer review: 4 approved]

Publisher

England: Faculty of 1000 Ltd

Journal title

F1000 research, 2018, Vol.7, p.1740-1740

Language

English

Formats

Publication information

Publisher

England: Faculty of 1000 Ltd

More information

Scope and Contents

Contents

Background: Single-cell RNA-seq is a powerful tool for measuring gene expression at the resolution of individual cells.  A challenge in the analysis of this data is the large amount of zero values, representing either missing data or no expression. Several imputation approaches have been proposed to address this issue, but they generally rely on st...

Alternative Titles

Full title

False signals induced by single-cell imputation [version 2; peer review: 4 approved]

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_287a7968b5df4e6a8e9de7bcfaa5de2d

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_287a7968b5df4e6a8e9de7bcfaa5de2d

Other Identifiers

ISSN

2046-1402

E-ISSN

2046-1402

DOI

10.12688/f1000research.16613.2

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