Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Abstract: This article formulates algorithms to upper-bound the maximum value-at-risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two methods: ...

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Abstract: This paper introduces an effective active learning strategy to iteratively refine the training of Gaussian process models with application to uncertainty quantification. Compared to ...