Journal ArticleDOI
Being Sensitive to Uncertainty
L.M. Arriola,J.M. Hyman +1 more
TLDR
This survey introduces the application, implementation, and underlying principles of sensitivity and uncertainty quantification inredictive modeling.Abstract:
Predictive modeling's effectiveness is hindered by inherent uncertainties in the input parameters. Sensitivity and uncertainty analysis quantify these uncertainties and identify the relationships between input and output variations, leading to the construction of a more accurate model. This survey introduces the application, implementation, and underlying principles of sensitivity and uncertainty quantificationread more
Citations
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Journal ArticleDOI
Array programming with NumPy
Charles R. Harris,K. Jarrod Millman,Stefan van der Walt,Stefan van der Walt,Ralf Gommers,Pauli Virtanen,David Cournapeau,Eric Wieser,Julian Taylor,Sebastian Berg,Nathaniel J. Smith,Robert Kern,Matti Picus,Stephan Hoyer,Marten H. van Kerkwijk,Matthew Brett,Matthew Brett,Allan Haldane,Jaime Fernández del Río,Mark Wiebe,Mark Wiebe,Pearu Peterson,Pierre Gérard-Marchant,Kevin Sheppard,Tyler Reddy,Warren Weckesser,Hameer Abbasi,Christoph Gohlke,Travis E. Oliphant +28 more
TL;DR: In this paper, the authors review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data, and their evolution into a flexible interoperability layer between increasingly specialized computational libraries is discussed.
Journal ArticleDOI
3D Slicer as an image computing platform for the Quantitative Imaging Network.
Andriy Fedorov,Reinhard Beichel,Jayashree Kalpathy-Cramer,Julien Finet,Jean-Christophe Fillion-Robin,Sonia Pujol,Christian Bauer,Dominique Jennings,Fiona M. Fennessy,Milan Sonka,John M. Buatti,Stephen R. Aylward,James V. Miller,Steve Pieper,Ron Kikinis +14 more
TL;DR: An overview of 3D Slicer is presented as a platform for prototyping, development and evaluation of image analysis tools for clinical research applications and the utility of the platform in the scope of QIN is illustrated.
Journal ArticleDOI
scikit-image: Image processing in Python
Stefan van der Walt,Johannes L. Schonberger,Juan Nunez-Iglesias,François Boulogne,Joshua D. Warner,Neil Yager,Emmanuelle Gouillart,Tony S. Yu +7 more
TL;DR: The advantages of open source to achieve the goals of the scikit-image library are highlighted, and several real-world image processing applications that use scik it-image are showcased.
Journal ArticleDOI
Biopython: freely available Python tools for computational molecular biology and bioinformatics
Peter J. A. Cock,Tiago Antao,Jeffrey T. Chang,Brad Chapman,Cymon J. Cox,Andrew Dalke,Iddo Friedberg,Thomas Hamelryck,Frank Kauff,Bartosz Wilczyński,Michiel J. L. de Hoon +10 more
TL;DR: Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.
Journal ArticleDOI
Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Shyue Ping Ong,William D. Richards,Anubhav Jain,Geoffroy Hautier,Michael Kocher,Shreyas Cholia,Dan Gunter,Vincent Chevrier,Kristin A. Persson,Gerbrand Ceder +9 more
TL;DR: The pymatgen library as mentioned in this paper is an open-source Python library for materials analysis that provides a well-tested set of structure and thermodynamic analyses relevant to many applications, and an open platform for researchers to collaboratively develop sophisticated analyses of materials data obtained both from first principles calculations and experiments.
References
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Book
Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation
Andreas Griewank,Andrea Walther +1 more
TL;DR: This second edition has been updated and expanded to cover recent developments in applications and theory, including an elegant NP completeness argument by Uwe Naumann and a brief introduction to scarcity, a generalization of sparsity.
Book
Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models
TL;DR: In this paper, the authors present a method for sensitivity analysis of a fish population model using Monte Carlo filtering and variance-based methods, which is based on the Bayesian uncertainty estimation.
Book
Perturbation Analysis of Discrete Event Dynamic Systems
Yu-Chi Ho,Xi-Ren Cao +1 more
TL;DR: In this article, the authors present a short history of the Perturbation Analysis development and its application in discrete event dynamic systems (DEDS) and compare the performance of different types of DEDS.
Journal ArticleDOI
Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method
TL;DR: Preliminaries Sensitivity Analysis and Stochastic Optimization of Discrete Event Static Systems (DESS) and Sensitivity analysis and stochastic optimization ofdiscrete Event Dynamic systems (DEDS).
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