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False signals induced by single-cell imputation [version 1; peer review: 4 approved with reservation...

False signals induced by single-cell imputation [version 1; peer review: 4 approved with reservation...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_12688_f1000research_16613_1

False signals induced by single-cell imputation [version 1; peer review: 4 approved with reservations]

About this item

Full title

False signals induced by single-cell imputation [version 1; peer review: 4 approved with reservations]

Journal title

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

Language

English

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More information

Scope and Contents

Contents

Background: Single-cell RNASeq is a powerful tool for measuring gene expression at the resolution of individual cells.  A significant 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 deal with this issue, but since these...

Alternative Titles

Full title

False signals induced by single-cell imputation [version 1; peer review: 4 approved with reservations]

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Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_12688_f1000research_16613_1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_12688_f1000research_16613_1

Other Identifiers

ISSN

2046-1402

E-ISSN

2046-1402

DOI

10.12688/f1000research.16613.1

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