New Results
Modeling the dynamics of EMT reveals genes associated with pan-cancer intermediate states and plasticity
MeiLu McDermott, Riddhee Mehta, Evanthia T. Roussos Torres, View ORCID ProfileAdam L. MacLean
doi: https://doi.org/10.1101/2024.10.03.616309
MeiLu McDermott
1Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
Riddhee Mehta
1Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
Evanthia T. Roussos Torres
2Department of Medicine, Division of Medical Oncology, Keck School of Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA
Adam L. MacLean
1Department of Quantitative and Computational Biology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, CA 90089, USA
Posted October 04, 2024.
Modeling the dynamics of EMT reveals genes associated with pan-cancer intermediate states and plasticity
MeiLu McDermott, Riddhee Mehta, Evanthia T. Roussos Torres, Adam L. MacLean
bioRxiv 2024.10.03.616309; doi: https://doi.org/10.1101/2024.10.03.616309
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