Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells
Integrative Analysis and Machine Learning Based Characterization of Single Circulating Tumor Cells
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
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
Authors, Artists and Contributors
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