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q-bio.QM2024
Prediction of cancer dynamics under treatment using Bayesian neural networks: A simulated study
Even Moa Myklebust, Arnoldo Frigessi, Fredrik Schjesvold +3
Predicting cancer dynamics under treatment is challenging due to high inter-patient heterogeneity, lack of predictive biomarkers, and sparse and noisy longitudinal data. Mathematic…
q-bio.QM2023★ 14 cited
Statistical inference of the rates of cell proliferation and phenotypic switching in cancer
Einar Bjarki Gunnarsson, Jasmine Foo, Kevin Leder
Recent evidence suggests that nongenetic (epigenetic) mechanisms play an important role at all stages of cancer evolution. In many cancers, these mechanisms have been observed to i…