Cell fate forecasting: a data assimilation approach to predict epithelial-mesenchymal transition
M. J. Mendez, M. J. Hoffman, E. M. Cherry, C. A. Lemmon, S. H. Weinberg
This paper demonstrates a data assimilation approach using an ensemble Kalman filter to predict epithelial-mesenchymal transition (EMT) state transitions by integrating noisy observations with a computational model of TGFβ-induced EMT.
bioRxiv · Jun 12, 2019Cell Biology