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SAR and QSAR in Environmental Research Volume 21, 2010 - Issue 1-2
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Original Articles

Counter propagation artificial neural network categorical models for prediction of carcinogenicity for non-congeneric chemicals

N. Fjodorova National Institute of Chemistry, Ljubljana, SloveniaCorrespondence[email protected]
,
M. Vračko National Institute of Chemistry, Ljubljana, Slovenia
,
A. Jezierska National Institute of Chemistry, Ljubljana, Slovenia; Faculty of Chemistry, University of Wrocław, Wrocław, Poland
&
M. Novič National Institute of Chemistry, Ljubljana, Slovenia
Pages 57-75 | Received 06 Jul 2009, Accepted 17 Nov 2009, Published online: 06 Apr 2010

Citations (11)

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Read on this site (3)

N. Fjodorova & M. Novič. (2014) Comparison of criteria used to access carcinogenicity in CPANN QSAR models versus the knowledge-based expert system Toxtree . SAR and QSAR in Environmental Research 25:6, pages 423-441.
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K. Tanabe, T. Kurita, K. Nishida, B. Lučić, D. Amić & T. Suzuki. (2013) Improvement of carcinogenicity prediction performances based on sensitivity analysis in variable selection of SVM models. SAR and QSAR in Environmental Research 24:7, pages 565-580.
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M. Jalali-Heravi & A. Mani-Varnosfaderani. (2011) QSAR modelling of integrin antagonists using enhanced Bayesian regularised genetic neural networks. SAR and QSAR in Environmental Research 22:3-4, pages 293-314.
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Articles from other publishers (8)

William Bort, Daniyar Mazitov, Dragos Horvath, Fanny Bonachera, Arkadii Lin, Gilles Marcou, Igor Baskin, Timur Madzhidov & Alexandre Varnek. (2022) Inverse QSAR: Reversing Descriptor-Driven Prediction Pipeline Using Attention-Based Conditional Variational Autoencoder. Journal of Chemical Information and Modeling 62:22, pages 5471-5484.
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M Chandraprabha & Rajesh Kumar Dhanaraj. (2020) Machine learning based Pedantic Analysis of Predictive Algorithms in Crop Yield Management. Machine learning based Pedantic Analysis of Predictive Algorithms in Crop Yield Management.
N. Fjodorova, M. Novic, S. Zuperl & K. Venko. 2017. Advances in QSAR Modeling. Advances in QSAR Modeling 503 527 .
Manish K. Gupta, Swati Gupta & Ravindra K. Rawal. 2016. Artificial Neural Network for Drug Design, Delivery and Disposition. Artificial Neural Network for Drug Design, Delivery and Disposition 153 179 .
Arnab Chakrabarty, Sam Mannan & Tahir Cagin. 2016. Multiscale Modeling for Process Safety Applications. Multiscale Modeling for Process Safety Applications 397 406 .
Natalja Fjodorova & Marjana Novič. (2013) Rodent Carcinogenicity Dataset. Dataset Papers in Medicine 2013, pages 1-6.
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James Devillers. 2013. Computational Toxicology. Computational Toxicology 3 27 .
Flor A. Quintero, Suhani J. Patel, Felipe Muñoz & M. Sam Mannan. (2012) Review of Existing QSAR/QSPR Models Developed for Properties Used in Hazardous Chemicals Classification System. Industrial & Engineering Chemistry Research 51:49, pages 16101-16115.
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