J
Joanna Jaworska
Researcher at Procter & Gamble
Publications - 61
Citations - 6493
Joanna Jaworska is an academic researcher from Procter & Gamble. The author has contributed to research in topics: Medicine & Applicability domain. The author has an hindex of 32, co-authored 55 publications receiving 5841 citations. Previous affiliations of Joanna Jaworska include Umeå University & Liverpool John Moores University.
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Journal ArticleDOI
Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.
Lennart Eriksson,Joanna Jaworska,Andrew Worth,Mark T. D. Cronin,Robert M McDowell,Paola Gramatica +5 more
TL;DR: This article provides an overview of methods for reliability assessment of quantitative structure-activity relationship (QSAR) models in the context of regulatory acceptance of human health and environmental QSARs.
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Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.
Tatiana I. Netzeva,Andrew Worth,Tom Aldenberg,Romualdo Benigni,Mark T. D. Cronin,Paola Gramatica,Joanna Jaworska,Scott Kahn,Gilles Klopman,Carol A. Marchant,Glenn J. Myatt,Nina Nikolova-Jeliazkova,Grace Patlewicz,Roger Perkins,David W. Roberts,Terry W Schultz,David T. Stanton,Johannes J.M. van de Sandt,Weida Tong,Gilman Veith,Chihae Yang +20 more
TL;DR: This is the 52nd report of a series of workshops organised by the European Centre for the Validation of Alternative Methods (ECVAM) to provide a source of input to the development of an OECD Guidance Document on (Q)SAR Validation.
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QSAR Applicability Domain Estimation by Projection of the Training Set in Descriptor Space: A Review:
TL;DR: Methods and criteria for estimating AD through training set interpolation in descriptor space and response space are reviewed and it is proposed that response space should be included in the training set representation.
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Uncertainty of the Hazardous Concentration and Fraction Affected for Normal Species Sensitivity Distributions
Tom Aldenberg,Joanna Jaworska +1 more
TL;DR: This article examines and compares results of Problems (1) and (2) from two opposing statistical philosophies, Bayesian and Classical, leading to vastly different numerical approaches, and focuses on the normal (Gaussian) distribution of species sensitivity.
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Approaches to Measure Chemical Similarity ± a Review
Nina Nikolova,Joanna Jaworska +1 more
TL;DR: The review provides analysis of potential pitfalls of descriptor based similarity analysis – loss of information in the representations of molecular structures – the relevance of a particular representation and chosen similarity measure to the activity.