David J. Livingstone

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Chiral chromatography and multivariate quantitative structure-property relationships of benzimidazole sulphoxides

Patrick Camilleri, David J. Livingstone, José A. Murphy, 1993, J. Comput. Aided Mol. Des..

Neural Network Modeling for Estimation of Partition Coefficient Based on Atom-Type Electrotopological State Indices

Igor V. Tetko, David J. Livingstone, Jarmo J. Huuskonen, 2000, J. Chem. Inf. Comput. Sci..

An Improved Approximation to the Estimation of the Critical F Values in Best Subset Regression

David W. Salt, David J. Livingstone, Subhash Ajmani, 2007, J. Chem. Inf. Model..

Application of QSPR to Mixtures

David J. Livingstone, Subhash Ajmani, Stephen C. Rogers, 2006, J. Chem. Inf. Model..

Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone, 1998, J. Chem. Inf. Comput. Sci..

Principles in QSAR and Drug Design, Vol. 2

David J. Livingstone, David T. Manallack, Timothy Gallagher, 1996 .

Quantitative Structure‐Activity Relationships

David J. Livingstone, 1991 .

Perspectives in QSAR: Computer chemistry and pattern recognition

David J. Livingstone, Richard M. Hyde, R. M. Hyde, 1988, J. Comput. Aided Mol. Des..

Simultaneous prediction of aqueous solubility and octanol/water partition coefficient based on descriptors derived from molecular structure

Martyn G. Ford, David W. Salt, David J. Livingstone, 2001, J. Comput. Aided Mol. Des..

Pattern recognition display methods for the analysis of computed molecular properties

Brian D. Hudson, David J. Livingstone, Elizabeth Rahr, 1989, J. Comput. Aided Mol. Des..

A Practical Guide to Scientific Data Analysis

David J. Livingstone, D. Livingstone, 2009 .

Selecting Screening Candidates for Kinase and G Protein-Coupled Receptor Targets Using Neural Networks

Martyn G. Ford, David C. Whitley, Emanuela Gancia, 2002, J. Chem. Inf. Comput. Sci..

Neural Network Studies, 2. Variable Selection

Igor V. Tetko, Alessandro E. P. Villa, David J. Livingstone, 1996, J. Chem. Inf. Comput. Sci..

Sharpening the Toolbox of Computational Chemistry: A New Approximation of Critical F-Values for Multiple Linear Regression

Bernd Beck, Timothy Clark, Christian Kramer, 2009, J. Chem. Inf. Model..

Infrared Spectra Information and Their Correlation with QSAR Descriptors

Alessandro Giuliani, Romualdo Benigni, David J. Livingstone, 1999, J. Chem. Inf. Comput. Sci..

Unsupervised Forward Selection: A Method for Eliminating Redundant Variables

Martyn G. Ford, David C. Whitley, David J. Livingstone, 2000, J. Chem. Inf. Comput. Sci..

A Consensus Neural Network-Based Technique for Discriminating Soluble and Poorly Soluble Compounds

Brian D. Hudson, Martyn G. Ford, David C. Whitley, 2003, J. Chem. Inf. Comput. Sci..

Data modelling with neural networks: Advantages and limitations

Igor V. Tetko, David J. Livingstone, David T. Manallack, 1997, J. Comput. Aided Mol. Des..

Structure-activity relationships of pyrethroid insecticides. Part 2. The use of molecular dynamics for conformation searching and average parameter calculation

Brian D. Hudson, Martyn G. Ford, David J. Livingstone, 1992, J. Comput. Aided Mol. Des..

Neural network studies, 1. Comparison of overfitting and overtraining

Igor V. Tetko, David J. Livingstone, Alexander I. Luik, 1995, J. Chem. Inf. Comput. Sci..

Virtual Computational Chemistry Laboratory – Design and Description

Igor V. Tetko, Johann Gasteiger, Roberto Todeschini, 2005, J. Comput. Aided Mol. Des..

The Characterization of Chemical Structures Using Molecular Properties. A Survey

David J. Livingstone, D. Livingstone, 2000, J. Chem. Inf. Comput. Sci..

A History of the Development of Data Mining in Pharmaceutical Research

John Bradshaw, David J. Livingstone, 2009 .

Variable Selection—Spoilt for Choice?

David W. Salt, David J. Livingstone, 2005 .

Neural Networks and Expert Systems in Molecular Design

Robert C. Glen, David J. Livingstone, David T. Manallack, 1994 .

Drug design strategies : quantitative approaches

David J. Livingstone, D. Livingstone, A. Davis, 2012 .

Limitations of Functional‐Link Nets as Applied to QSAR Data Analysis

David J. Livingstone, David T. Manallack, D. Manallack, 1994 .

In Silico Prediction of Human Bioavailability

Han van de Waterbeemd, David J. Livingstone, D. Livingstone, 2008 .

Corchop – an Interactive Routine for the Dimension Reduction of Large QSAR Data Sets

David J. Livingstone, Elizabeth Rahr, D. Livingstone, 1989 .

The Characterization of Chemical Structures Using Molecular Properties. A Survey

David J. Livingstone, 2000 .

Regression analysis for QSAR using neural networks

David W. Salt, David J. Livingstone, D. Livingstone, 1992 .

The Integrated Use of Alternative Approaches for Predicting Toxic Hazard

Alessandro Giuliani, Robert D. Combes, Peter Zbinden, 1995 .

Lattice Model for QSAR Studies

Igor V. Tetko, Anatoly G. Artemenko, David J. Livingstone, 2000 .

[30] Pattern recognition methods in rational drug design

David J. Livingstone, D. Livingstone, 1991 .

Investigation of a charge-transfer substituent constant using computational chemistry and pattern recognition techniques

David J. Livingstone, Martin R. Saunders, David A. Evans, 1992 .

Comparison of Overfitting and Overtraining

Igor V. Tetko, David J. Livingstone, Alexander I. Luik, 2001 .

Artificial neural networks: Application and chance effects for QSAR data analysis

David J. Livingstone, David T. Manallack, D. Manallack, 1992 .

Electronic‐Topological Investigation of theStructure – Acetylcholinesterase Inhibitor Activity Relationship in the Series of N‐Benzylpiperidine Derivatives

Igor V. Tetko, David J. Livingstone, A. S. Dimoglo, 2001 .

Multivariate Techniques for Parameter Selection and Data Analysis Exemplified by a Study of Pyrethroid Neurotoxicity

Martyn G. Ford, David J. Livingstone, 1990 .

The structure/activity relationships of pyrethroid insecticides. 1. A Novel Approach Based upon the Use of Multivariate QSAR and Computational Chemistry

Martyn G. Ford, David J. Livingstone, Richard Greenwood, 1989 .

Rule-Based Systems to Predict Lipophilicity

Igor V. Tetko, David J. Livingstone, I. Tetko, 2007 .