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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_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7230872

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

Switzerland: MDPI AG

Journal title

Journal of clinical medicine, 2020-04, Vol.9 (4), p.1206

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

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_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7230872

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7230872

Other Identifiers

ISSN

2077-0383

E-ISSN

2077-0383

DOI

10.3390/jcm9041206

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