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of 2 580
pro vyhledávání: '"J. Myatt"'
Autor:
DeVeaux, Richard
Publikováno v:
The American Statistician, 2010 Aug 01. 64(3), 270-271.
Externí odkaz:
https://www.jstor.org/stable/20799928
Autor:
Horníková, Adriana
Publikováno v:
Technometrics, 2010 Feb 01. 52(1), 141-142.
Externí odkaz:
https://www.jstor.org/stable/40586691
Autor:
Arianna Bassan, Ronald Steigerwalt, Douglas Keller, Lisa Beilke, Paul M. Bradley, Frank Bringezu, William J. Brock, Leigh Ann Burns-Naas, Jon Chambers, Kevin Cross, Michael Dorato, Rosalie Elespuru, Douglas Fuhrer, Frances Hall, Jim Hartke, Gloria D. Jahnke, Felix M. Kluxen, Eric McDuffie, Friedemann Schmidt, Jean-Pierre Valentin, David Woolley, Doris Zane, Glenn J. Myatt
Publikováno v:
Frontiers in Toxicology, Vol 6 (2024)
The ICH S1B carcinogenicity global testing guideline has been recently revised with a novel addendum that describes a comprehensive integrated Weight of Evidence (WoE) approach to determine the need for a 2-year rat carcinogenicity study. In the pres
Externí odkaz:
https://doaj.org/article/3419c3b90a414f7aafa8e7a2a11aedc0
Autor:
Devore, Jay
Publikováno v:
The American Statistician, 2007 Nov 01. 61(4), 370-371.
Externí odkaz:
https://www.jstor.org/stable/27643947
Autor:
Glenn J, Myatt, Arianna, Bassan, Dave, Bower, Candice, Johnson, Scott, Miller, Manuela, Pavan, Kevin P, Cross
Publikováno v:
Comput Toxicol
Mechanistically-driven alternative approaches to hazard assessment invariably require a battery of tests, including both in silico models and experimental data. The decision-making process, from selection of the methods to combining the information b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::54b9706ef8d043746a7a841c16f1a627
https://pubmed.ncbi.nlm.nih.gov/35036665
https://pubmed.ncbi.nlm.nih.gov/35036665
Autor:
Candice, Johnson, Lennart T, Anger, Romualdo, Benigni, David, Bower, Frank, Bringezu, Kevin M, Crofton, Mark T D, Cronin, Kevin P, Cross, Magdalena, Dettwiler, Markus, Frericks, Fjodor, Melnikov, Scott, Miller, David W, Roberts, Diana, Suarez-Rodriguez, Alessandra, Roncaglioni, Elena, Lo Piparo, Raymond R, Tice, Craig, Zwickl, Glenn J, Myatt
Publikováno v:
Comput Toxicol
Understanding the reliability and relevance of a toxicological assessment is important for gauging the overall confidence and communicating the degree of uncertainty related to it. The process involved in assessing reliability and relevance is well d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3c0d7cdba4ae97555f59d6dc5262e2a5
https://pubmed.ncbi.nlm.nih.gov/35368849
https://pubmed.ncbi.nlm.nih.gov/35368849
Autor:
Kevin P. Cross, Glenn J. Myatt
Publikováno v:
Machine Learning and Deep Learning in Computational Toxicology ISBN: 9783031207297
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f98358c0a8af0fa86d6df4bf9cf0ea7
https://doi.org/10.1007/978-3-031-20730-3_16
https://doi.org/10.1007/978-3-031-20730-3_16
Akademický článek
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Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2425
In silico toxicology protocols help ensure the results from computational toxicology models are performed and documented in a standardized, consistent, transparent, and accepted manner. In silico toxicology protocols for skin sensitization and geneti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::00bdaff2f3081cf8ebc5675c9f8e5c01
https://pubmed.ncbi.nlm.nih.gov/35188641
https://pubmed.ncbi.nlm.nih.gov/35188641
Autor:
Frank Bringezu, Phillip Bellion, Alexander Amberg, Jeffrey M. Birmingham, Alejandra Trejo-Martin, Glenn J. Myatt, Amy L. Mihalchik-Burhans, Amarjit Luniwal, Naomi L. Kruhlak, Rosalie K. Elespuru, Karen H. Watanabe-Sailor, Louise Neilson, Lidia Ceriani, Markus Frericks, Alessandro Brigo, John P. Rooney, Arun R. Pandiri, Helga Gerets, Alice Luu, Arianna Bassan, Angela White, Marc A. Beal, Federica Madia, Manuela Pavan, David Faulkner, Lennart T. Anger, Elena Lo Piparo, Marie C. Fortin, Jordi Mestres, Ian Crooks, David Woolley, Raymond R. Tice, Paul Fowler, Balasubramanian Manickam, David R. Jones, Cynthia V. Rider, Serena Manganelli, Juan Lopez-Belmonte, Gloria D. Jahnke, Kevin P. Cross, Romualdo Benigni
Publikováno v:
Comput Toxicol
Historically, identifying carcinogens has relied primarily on tumor studies in rodents, which require enormous resources in both money and time. In silico models have been developed for predicting rodent carcinogens but have not yet found general reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de085dd3094d276c69682e6dfe5bb402
https://europepmc.org/articles/PMC8967183/
https://europepmc.org/articles/PMC8967183/