| scholarly article | Q13442814 |
| P2093 | author name string | M Vracko | |
| A Jezierska | |||
| M Novic | |||
| N Fjodorova | |||
| P2860 | cites work | Virtual Computational Chemistry Laboratory – Design and Description | Q27136404 |
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| Predictive carcinogenicity: a model for aromatic compounds, with nitrogen-containing substituents, based on molecular descriptors using an artificial neural network | Q52131429 | ||
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| P433 | issue | 1 | |
| P921 | main subject | artificial neural network | Q192776 |
| P304 | page(s) | 57-75 | |
| P577 | publication date | 2010-01-01 | |
| P1433 | published in | SAR and QSAR in Environmental Research | Q15724562 |
| P1476 | title | Counter propagation artificial neural network categorical models for prediction of carcinogenicity for non-congeneric chemicals | |
| P478 | volume | 21 |
| Q51095440 | Comparison of criteria used to access carcinogenicity in CPANN QSAR models versus the knowledge-based expert system Toxtree |
| Q43438203 | Methods for Building QSARs |
| Q51566931 | QSAR modelling of integrin antagonists using enhanced Bayesian regularised genetic neural networks |
| Q58921951 | Rodent Carcinogenicity Dataset |
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