Quantifying massively parallel microbial growth with spatially mediated interactions
F. Borse, D. Kiciatovas, T. Kuosmanen, M. Vidal, G. Cabrera-Vives, J. Cairns, J. Warringer, V. Mustonen
The paper quantifies microbial growth variability across spatial locations using machine learning and develops a spatial consumer-resource model to explain growth patterns and infer intrinsic growth parameters.
PLOS Computational Biology · Jul 22, 2024Peer-reviewedEcology