The Importance of Scaling in Data Mining for Toxicity Prediction
- 20 August 2002
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Chemical Information and Computer Sciences
- Vol. 42 (5) , 1250-1255
- https://doi.org/10.1021/ci025520n
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Factors Influencing Predictive Models for ToxicologySAR and QSAR in Environmental Research, 2001
- Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural NetworkJournal of Chemical Information and Computer Sciences, 1999
- GA Strategy for Variable Selection in QSAR Studies: Application of GA-Based Region Selection to a 3D-QSAR Study of Acetylcholinesterase InhibitorsJournal of Chemical Information and Computer Sciences, 1998
- Are multilayer perceptrons adequate for pattern recognition and verification?Published by Institute of Electrical and Electronics Engineers (IEEE) ,1998
- A Bayesian neural network method for adverse drug reaction signal generationEuropean Journal of Clinical Pharmacology, 1998
- Letter to the EditorIntelligent Data Analysis, 1997
- Predicting modes of toxic action from chemical structure: Acute toxicity in the fathead minnow (Pimephales promelas)Environmental Toxicology and Chemistry, 1997
- Neural Networks for Pattern RecognitionPublished by Oxford University Press (OUP) ,1995
- The influence of data preprocessing on the robustness and parsimony of multivariate calibration modelsChemometrics and Intelligent Laboratory Systems, 1994