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Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-se...

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-se...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262543402

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data

About this item

Full title

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2020-10

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Abstract Traditional cell clustering analysis used to compare the transcriptomic landscapes between two biological states in single cell RNA sequencing (scRNA-seq) is largely inadequate to functionally identify distinct and important differentially abundant (DA) subpopulations between groups. This problem is exacerbated further when using unsupervi...

Alternative Titles

Full title

Detection of differentially abundant cell subpopulations discriminates biological states in scRNA-seq data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2262543402

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2262543402

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/711929