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For: Rosenkranz HS. SAR modeling of genotoxic phenomena: the consequence on predictive performance of deviation from a unity ratio of genotoxicants/non-genotoxicants. Mutation Research/Genetic Toxicology and Environmental Mutagenesis 2004;559:67-71. [PMID: 15066575 DOI: 10.1016/j.mrgentox.2003.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2003] [Revised: 12/23/2003] [Accepted: 12/23/2003] [Indexed: 11/28/2022]
Number Cited by Other Article(s)
1
Kobets T, Smith BPC, Williams GM. Food-Borne Chemical Carcinogens and the Evidence for Human Cancer Risk. Foods 2022;11:2828. [PMID: 36140952 PMCID: PMC9497933 DOI: 10.3390/foods11182828] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/07/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022]  Open
2
Morita T, Shigeta Y, Kawamura T, Fujita Y, Honda H, Honma M. In silico prediction of chromosome damage: comparison of three (Q)SAR models. Mutagenesis 2019;34:91-100. [PMID: 30085209 DOI: 10.1093/mutage/gey017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 07/23/2018] [Indexed: 11/12/2022]  Open
3
Toropov AA, Toropova AP, Raitano G, Benfenati E. CORAL: Building up QSAR models for the chromosome aberration test. Saudi J Biol Sci 2018;26:1101-1106. [PMID: 31516335 PMCID: PMC6734133 DOI: 10.1016/j.sjbs.2018.05.013] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 04/23/2018] [Accepted: 05/06/2018] [Indexed: 12/13/2022]  Open
4
Lin WJ, Chen JJ. Class-imbalanced classifiers for high-dimensional data. Brief Bioinform 2012;14:13-26. [DOI: 10.1093/bib/bbs006] [Citation(s) in RCA: 178] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]  Open
5
Young JF, Tsai CA, Chen JJ, Latendresse JR, Kodell RL. Database composition can affect the structure-activity relationship prediction. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2006;69:1527-40. [PMID: 16854783 DOI: 10.1080/15287390500468746] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
6
Chen JJ, Tsai CA, Young JF, Kodell RL. Classification ensembles for unbalanced class sizes in predictive toxicology. SAR AND QSAR IN ENVIRONMENTAL RESEARCH 2005;16:517-29. [PMID: 16428129 DOI: 10.1080/10659360500468468] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
7
Snyder RD, Smith MD. Computational prediction of genotoxicity: room for improvement. Drug Discov Today 2005;10:1119-24. [PMID: 16182197 DOI: 10.1016/s1359-6446(05)03505-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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