Learning time-varying information flow from single-cell epithelial to mesenchymal transition data
Smita Krishnaswamy(Yale University), Bernd Bodenmiller(University of Zurich)
Cited by 22
Related Papers
Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer
|Cancer Cell|2024|246
In-Depth Characterization of Monocyte-Derived Macrophages using a Mass Cytometry-Based Phagocytosis Assay
|Scientific Reports|2019|193
A distinct innate immune signature marks progression from mild to severe COVID-19
|Cell Reports Medicine|2020|142
Revealing dynamic temporal trajectories and underlying regulatory networks with <i>Cflows</i>
|bioRxiv (Cold Spring Harbor Laboratory)|2023|11