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PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models

By Simeon Persson and others
Mathematical modelling is an invaluable tool to describe dynamic cellular processes and to rationalise cell-to-cell variability within the population. This requires statistical methods to infer unknown model parameters from dynamic, multi-individual data accounting for heterogeneity caused by both intrinsic and extrinsic noise. Here we present PEPSDI, a scalable and flexible... Show more
May 19, 2022
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PEPSDI: Scalable and flexible inference framework for stochastic dynamic single-cell models
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