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scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type...

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_56b87e6f343b4ebfb94715675a4aa99b

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

About this item

Full title

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

Publisher

England: BioMed Central Ltd

Journal title

Genome Biology, 2024-08, Vol.25 (1), p.207-207, Article 207

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Cell type identification is an indispensable analytical step in single-cell data analyses. To address the high noise stemming from gene expression data, existing computational methods often overlook the biologically meaningful relationships between genes, opting to reduce all genes to a unified data space. We assume that such relationships can aid...

Alternative Titles

Full title

scPriorGraph: constructing biosemantic cell–cell graphs with prior gene set selection for cell type identification from scRNA-seq data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_56b87e6f343b4ebfb94715675a4aa99b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_56b87e6f343b4ebfb94715675a4aa99b

Other Identifiers

ISSN

1474-760X,1474-7596

E-ISSN

1474-760X

DOI

10.1186/s13059-024-03357-w

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