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GraphComm predicts cell cell communication using a graph based deep learning method in single cell RNA sequencing data


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This article "GraphComm predicts cell–cell communication using a graph-based deep learning method in single-cell RNA sequencing data" is published in Nature Communications.


Author: Emily So

Journal: Nature Communications

Year: 2025

Podcast type: Short


The authors are:


  • Emily So
  • Sikander Hayat
  • Sisira Kadambat Nair
  • Bo Wang
  • Benjamin Haibe-Kains


Affiliations:


Emily So, Sisira Kadambat Nair, Benjamin Haibe-Kains, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada

Emily So, Benjamin Haibe-Kains, Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada

Sikander Hayat, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany

Bo Wang, Benjamin Haibe-Kains, Department of Computer Science, University of Toronto, Toronto, Ontario, Canada

Bo Wang, Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada

Bo Wang, University Health Network, Toronto, Ontario, Canada

Benjamin Haibe-Kains, Ontario Institute for Cancer Research, Toronto, Ontario, Canada

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