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General foundations of high‐dimensional model representations
AbstractA family of multivariate representations is introduced to capture the input–output relationships of high‐dimensional physical systems with many input variables. A systematic mapping procedureExpand
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Systems-level metabolic flux profiling identifies fatty acid synthesis as a target for antiviral therapy
Viruses rely on the metabolic network of their cellular hosts to provide energy and building blocks for viral replication. We developed a flux measurement approach based on liquidExpand
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High Dimensional Model Representations
In the chemical sciences, many laboratory experiments, environmental and industrial processes, as well as modeling exercises, are characterized by large numbers of input variables. A generalExpand
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Quiescent Fibroblasts Exhibit High Metabolic Activity
Metabolomics technology reveals that fibroblast that have exited the proliferative cell cycle nevertheless utilize glucose throughout central carbon metabolism and rely on the pentose phosphateExpand
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General formulation of HDMR component functions with independent and correlated variables
The High Dimensional Model Representation (HDMR) technique decomposes an n-variate function f (x) into a finite hierarchical expansion of component functions in terms of the input variables x = (x1,Expand
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Control of quantum phenomena: past, present and future
Quantum control is concerned with active manipulation of physical and chemical processes on the atomic and molecular scale. This work presents a perspective of progress in the field of control overExpand
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Similarity transformation approach to identifiability analysis of nonlinear compartmental models.
Through use of the local state isomorphism theorem instead of the algebraic equivalence theorem of linear systems theory, the similarity transformation approach is extended to nonlinear models,Expand
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Global sensitivity analysis for systems with independent and/or correlated inputs.
The objective of a global sensitivity analysis is to rank the importance of the system inputs considering their uncertainty and the influence they have upon the uncertainty of the system output,Expand
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Identiriability analysis deals with the problem of uniqueness of the parameters when fitting a model to a set of observations. If the model is not qualitatively identifiable, then several orExpand
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Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli
Despite extensive study of individual enzymes and their organization into pathways, the means by which enzyme networks control metabolite concentrations and fluxes in cells remains incompletelyExpand
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