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Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9487595

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

About this item

Full title

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Publisher

England: Oxford University Press

Journal title

Briefings in bioinformatics, 2022-09, Vol.23 (5)

Language

English

Formats

Publication information

Publisher

England: Oxford University Press

More information

Scope and Contents

Contents

Abstract
We present a novel self-supervised Contrastive LEArning framework for single-cell ribonucleic acid (RNA)-sequencing (CLEAR) data representation and the downstream analysis. Compared with current methods, CLEAR overcomes the heterogeneity of the experimental data with a specifically designed representation learning task and thus can hand...

Alternative Titles

Full title

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9487595

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9487595

Other Identifiers

ISSN

1467-5463,1477-4054

E-ISSN

1477-4054

DOI

10.1093/bib/bbac377

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