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Environmental Health Perspectives|October 1, 1996
Prediction of rodent carcinogenicity bioassays from molecular structure using inductive logic programmingR D King, A SrinivasanJournal of Computer-Aided Molecular Design|March 10, 1998
The discovery of indicator variables for QSAR using inductive logic programmingR D King, A SrinivasanJournal of Computer-Aided Molecular Design|March 29, 2001
Warmr: a data mining tool for chemical dataR D King, A Srinivasan, L DehaspeProceedings of the National Academy of Sciences of the United States of America|January 9, 1996
Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programmingR D King, S H Muggleton, A Srinivasan, et al.British Poultry Science|May 6, 1998
Linear model of nitrogen balance and examination of the nature of true metabolisable energy and its nitrogen corrected formR D KingMedical Group Management Journal|December 9, 1995
The 'Fulcrum for Quality'. The physics of provider reform: six key variables to achieve 'MEDQIC'R D KingPoultry Science|March 23, 2001
Description of a growth simulation model for predicting the effect of diet on broiler composition and growthR D KingMedical Group Management Journal|February 7, 1995
Are provider integrated delivery systems the final step to integration?R D KingProtein Science : a Publication of the Protein Society|July 13, 2000
Cascaded multiple classifiers for secondary structure predictionM Ouali, R D KingBioinformatics (Oxford, England)|October 10, 2003
Predicting gene function in Saccharomyces cerevisiaeA Clare, R D KingPageof 57