• ProbCD

  • Referenced in 5 articles [sw20338]
  • ProbCD: enrichment analysis accounting for categorization uncertainty. As in many other areas of science, systems ... contingency tables, a type of categorical data analysis known in this field as enrichment (also ... over-representation or enhancement) analysis. In spite of efforts to create probabilistic annotations, especially ... address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis...
  • IPP Toolbox

  • Referenced in 3 articles [sw09589]
  • necessary functions to conduct an uncertainty analysis in the imprecise probabilistic framework. For those ... looking for an alternative method to probabilistic uncertainty modelling, the toolbox offers ... user’s needs. Uncertainty measures are included, as are sensitivity analysis methods. In the documentation...
  • pvclust

  • Referenced in 10 articles [sw07120]
  • package for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased...
  • MUCM

  • Referenced in 3 articles [sw13257]
  • methodology. We cover sensitivity and uncertainty analysis and describe in less detail other aspects such...
  • RoVerGeNe

  • Referenced in 13 articles [sw10954]
  • tool for the analysis of genetic regulatory networks under parameter uncertainty. Genetic regulatory networks ... intervals. The tool addresses two problems: robustness analysis: checking whether a dynamical property is satisfied...
  • Pygpc

  • Referenced in 2 articles [sw41525]
  • Pygpc: A sensitivity and uncertainty analysis toolbox for Python. We present a novel Python package ... uncertainty and sensitivity analysis of computational models. The mathematical background is based ... costly to evaluate. The toolbox determines the uncertainty of multiple quantities of interest in parallel...
  • refund

  • Referenced in 63 articles [sw07434]
  • using principal components. Functional principal components (FPC) analysis is widely used to decompose and express ... obtaining correct curve estimates by accounting for uncertainty in FPC decompositions. Additionally, pointwise and simultaneous...
  • PEST

  • Referenced in 2 articles [sw21440]
  • software package for parameter estimation and uncertainty analysis of complex environmental and other computer models...
  • AQUATOX

  • Referenced in 2 articles [sw14781]
  • useful for evaluating ecological effects, including uncertainty analysis, nominal range sensitivity analysis, comparison of perturbed...
  • MPiTOUGH2

  • Referenced in 2 articles [sw23340]
  • based on the parameter estimation and uncertainty analysis tool iTOUGH2, which we have parallelized using...
  • UQLab

  • Referenced in 43 articles [sw19740]
  • founded the Chair of Risk, Safety and Uncertainty Quantification at ETH Zurich, and decided ... rare event estimation (structural reliability), global sensitivity analysis, Bayesian techniques for inverse problems, etc. After ... scientific community regarding the fundamental aspects of uncertainty quantification. The first closed beta version...
  • spup

  • Referenced in 1 article [sw27794]
  • package spup: Spatial Uncertainty Propagation Analysis. Uncertainty propagation analysis in spatial environmental modelling following methodology ... package provides functions for examining the uncertainty propagation starting from input data and model parameters...
  • Puma

  • Referenced in 4 articles [sw19121]
  • bioconductor package for propagating uncertainty in microarray analysis. Most analyses of Affymetrix GeneChip data (including ... estimates of expression levels and ignore the uncertainty of such estimates. By propagating uncertainty...
  • Open TURNS

  • Referenced in 4 articles [sw12837]
  • this paper: uncertainty quantification, uncertainty propagation, sensitivity analysis and metamodeling. A section also explains...
  • UQTk

  • Referenced in 7 articles [sw21917]
  • propagating input uncertainties through computational models, tools for sensitivity analysis, methods for sparse surrogate construction...
  • ACDP

  • Referenced in 1 article [sw34572]
  • past decades. Large-scale parameter sensitivity analysis, uncertainty quantification, and nonlinear optimization would otherwise turn ... problems faced from functional and numerical analysis to computer science. It becomes a highly complex...
  • LNA++

  • Referenced in 1 article [sw27627]
  • efficient parameter estimation and uncertainty analysis, LNA++ implements 1st and 2nd order sensitivity equations. Interfaces...
  • Uncertainpy

  • Referenced in 4 articles [sw31267]
  • python toolbox for uncertainty quantification and sensitivity analysis tailored towards computational neuroscience. Uncertainpy is model ... applicable, it recognizes and calculates the uncertainty in features of the model, as well...
  • SmartMobile

  • Referenced in 15 articles [sw10867]
  • solving methods in SmartMobile for verified analysis of mechanical systems. Software for modeling and simulation ... arithmetic and does not take into account uncertainty in the input data. The program SmartMobile ... correct and measure the influence of data uncertainty. In this paper, we outline the main ... newly developed methods for sensitivity analysis and DAE solving for several practically relevant mechanical systems...
  • Virtual library

  • Referenced in 26 articles [sw27598]
  • evaluating new approaches to the design and analysis of experiments involving computer models. Under each ... both MATLAB and R: Optimization, Emulation/ Prediction, Uncertainty Quantification, Multi Fidelity Simulation, Calibration/ Tuning, Screening...