Gini G - Search Results

1

Results of a round-robin exercise on read-across.

Benfenati E, Belli M, Borges T, Casimiro E, Cester J, Fernandez A, Gini G, Honma M, Kinzl M, Knauf R, Manganaro A, Mombelli E, Petoumenou MI, Paparella M, Paris P, Raitano G. Benfenati E, et al. Among authors: gini g. SAR QSAR Environ Res. 2016 May;27(5):371-84. doi: 10.1080/1062936X.2016.1178171. Epub 2016 May 11. SAR QSAR Environ Res. 2016. PMID: 27167159

2

Computational predictive programs (expert systems) in toxicology.

Benfenati E, Gini G. Benfenati E, et al. Among authors: gini g. Toxicology. 1997 May 16;119(3):213-25. doi: 10.1016/s0300-483x(97)03631-7. Toxicology. 1997. PMID: 9152017 Review.

3

Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network.

Gini G, Lorenzini M, Benfenati E, Grasso P, Bruschi M. Gini G, et al. J Chem Inf Comput Sci. 1999 Nov-Dec;39(6):1076-80. doi: 10.1021/ci9903096. J Chem Inf Comput Sci. 1999. PMID: 10614025

4

The importance of scaling in data mining for toxicity prediction.

Mazzatorta P, Benfenati E, Neagu D, Gini G. Mazzatorta P, et al. Among authors: gini g. J Chem Inf Comput Sci. 2002 Sep-Oct;42(5):1250-5. doi: 10.1021/ci025520n. J Chem Inf Comput Sci. 2002. PMID: 12377016

5

Tuning neural and fuzzy-neural networks for toxicity modeling.

Mazzatorta P, Benfenati E, Neagu CD, Gini G. Mazzatorta P, et al. Among authors: gini g. J Chem Inf Comput Sci. 2003 Mar-Apr;43(2):513-8. doi: 10.1021/ci025585q. J Chem Inf Comput Sci. 2003. PMID: 12653515

6

Database mining with adaptive fuzzy partition: application to the prediction of pesticide toxicity on rats.

Pintore M, Piclin N, Benfenati E, Gini G, Chrétien JR. Pintore M, et al. Among authors: gini g. Environ Toxicol Chem. 2003 May;22(5):983-91. Environ Toxicol Chem. 2003. PMID: 12729207

7

Predicting logP of pesticides using different software.

Benfenati E, Gini G, Piclin N, Roncaglioni A, Varì MR. Benfenati E, et al. Among authors: gini g. Chemosphere. 2003 Dec;53(9):1155-64. doi: 10.1016/S0045-6535(03)00609-X. Chemosphere. 2003. PMID: 14512120

8

Combining unsupervised and supervised artificial neural networks to predictaquatic toxicity.

Gini G, Craciun MV, König C, Benfenati E. Gini G, et al. J Chem Inf Comput Sci. 2004 Nov-Dec;44(6):1897-902. doi: 10.1021/ci0401219. J Chem Inf Comput Sci. 2004. PMID: 15554658

9

Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study.

Vracko M, Bandelj V, Barbieri P, Benfenati E, Chaudhry Q, Cronin M, Devillers J, Gallegos A, Gini G, Gramatica P, Helma C, Mazzatorta P, Neagu D, Netzeva T, Pavan M, Patlewicz G, Randić M, Tsakovska I, Worth A. Vracko M, et al. Among authors: gini g. SAR QSAR Environ Res. 2006 Jun;17(3):265-84. doi: 10.1080/10659360600787650. SAR QSAR Environ Res. 2006. PMID: 16815767

10

QSAR trout toxicity models on aromatic pesticides.

Slavov S, Gini G, Benfenati E. Slavov S, et al. Among authors: gini g. J Environ Sci Health B. 2008 Nov;43(8):633-7. doi: 10.1080/10934520801893725. J Environ Sci Health B. 2008. PMID: 18941985

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