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

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