Dysregulation in signal transduction pathways can lead to a variety of complex disorders, including cancer. Computational approaches such as network analysis are important tools to understand system dynamics as well as to identify critical components that could be further explored as therapeutic targets. Here, we performed perturbation analysis of a large-scale signal transduction model in extr...

This study includes a global sensitivity analysis of the water productivity model AquaCrop. The study rationale consisted in a comprehensive evaluation of the model and the formulation of guidelines for model simplification and efficient calibration. The global analysis comprehended a Morris screening followed by a variance-based Extended Fourier Amplitude Sensitivity Test (EFAST) under diverse...

Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from the error assumptions and the presence of outliers and influential observations with the fitted models. The literature provides plenty of approaches for detecting outlying or influential observations in data sets. In this paper, we follow the local influence approach (Cook 1986) in...

Identifying influential factors of business process performance using dependency analysis Branimir Wetzsteina; Philipp Leitnerb; Florian Rosenbergc; Schahram Dustdarb; Frank Leymanna a Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany b Distributed Systems Group, Vienna University of Technology, Vienna, Austria c CSIRO ICT Centre, Canberra, ACT, Austr...