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Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9010342

Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

About this item

Full title

Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

Publisher

New York: Nature Publishing Group US

Journal title

Nature biotechnology, 2022-04, Vol.40 (4), p.527-538

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Bulk and single cell measurements are integrated to identify phenotype-associated subpopulations of cells.
Single-cell RNA sequencing (scRNA-seq) distinguishes cell types, states and lineages within the context of heterogeneous tissues. However, current single-cell data cannot directly link cell clusters with specific phenotypes. Here we present...

Alternative Titles

Full title

Identifying phenotype-associated subpopulations by integrating bulk and single-cell sequencing data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9010342

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9010342

Other Identifiers

ISSN

1087-0156

E-ISSN

1546-1696

DOI

10.1038/s41587-021-01091-3

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