Disseminating cells in human oral tumours possess an EMT cancer stem cell marker profile that is predictive of metastasis in image-based machine learning

  1. Gehad Youssef
  2. Luke Gammon
  3. Leah Ambler
  4. Sophia Lunetto
  5. Alice Scemama
  6. Hannah Cottom
  7. Kim Piper
  8. Ian C Mackenzie
  9. Michael P Philpott
  10. Adrian Biddle  Is a corresponding author
  1. Queen Mary University of London, United Kingdom
  2. Barts Health NHS Trust, United Kingdom

Peer review process

This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record published
  2. Accepted Manuscript published
  3. Accepted
  4. Received
  5. Preprint posted

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Gehad Youssef
  2. Luke Gammon
  3. Leah Ambler
  4. Sophia Lunetto
  5. Alice Scemama
  6. Hannah Cottom
  7. Kim Piper
  8. Ian C Mackenzie
  9. Michael P Philpott
  10. Adrian Biddle
(2023)
Disseminating cells in human oral tumours possess an EMT cancer stem cell marker profile that is predictive of metastasis in image-based machine learning
eLife 12:e90298.
https://doi.org/10.7554/eLife.90298

Share this article

https://doi.org/10.7554/eLife.90298