Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor Cells

Integrative Analysis and Machine Learning based Characterization of Single Circulating Tumor Cells

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...

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Bibliographic Details
Main Authors: Arvind Iyer, Krishan Gupta, Shreya Sharma, Kishore Hari, Yi Fang Lee, Neevan Ramalingam, Yoon Sim Yap, Jay West, Ali Asgar Bhagat, Balaram Vishnu Subramani, Burhanuddin Sabuwala, Tuan Zea Tan, Jean Paul Thiery, Mohit Kumar Jolly, Naveen Ramalingam, Debarka Sengupta
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Journal of Clinical Medicine
Subjects:
high-throughput sequencing
rare cell type
single-cell
RNA-seq
machine learning
CTC
Online Access:https://www.mdpi.com/2077-0383/9/4/1206

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https://www.mdpi.com/2077-0383/9/4/1206

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