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Integrative analysis and machine learning based characterization of single circulating tumor cells

Integrative analysis and machine learning based characterization of single circulating tumor cells

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2322257239

Integrative analysis and machine learning based characterization of single circulating tumor cells

About this item

Full title

Integrative analysis and machine learning based characterization of single circulating tumor cells

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

Journal title

bioRxiv, 2019-12

Language

English

Formats

Publication information

Publisher

Cold Spring Harbor: Cold Spring Harbor Laboratory Press

More information

Scope and Contents

Contents

We collated publicly available single-cell expression profiles of circulating tumor cells (CTCs) and showed that CTCs across cancers lie on a near-perfect continuum of epithelial to mesenchymal (EMT) transition. Integrative analysis of CTC transcriptomes also highlighted the inverse gene expression pattern between PD-L1 and MHC, which is implicated...

Alternative Titles

Full title

Integrative analysis and machine learning based characterization of single circulating tumor cells

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2322257239

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2322257239

Other Identifiers

E-ISSN

2692-8205

DOI

10.1101/867200