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Benchmarking atlas-level data integration in single-cell genomics

Benchmarking atlas-level data integration in single-cell genomics

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405930773

Benchmarking atlas-level data integration in single-cell genomics

About this item

Full title

Benchmarking atlas-level data integration in single-cell genomics

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2020-05

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

Cell atlases often include samples that span locations, labs, and conditions, leading to complex, nested batch effects in data. Thus, joint analysis of atlas datasets requires reliable data integration. Choosing a data integration method is a challenge due to the difficulty of defining integration success. Here, we benchmark 38 method and preproces...

Alternative Titles

Full title

Benchmarking atlas-level data integration in single-cell genomics

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2405930773

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2405930773

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/2020.05.22.111161