S. Barrett

Combining Machine Learning techniques to Predict Compounds’ Cytochrome P450 High Throughput Screening Inhibition

William B. Langdon, Bernard F. Buxton, S. J. Barrett, 2002 .

Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development

William B. Langdon, S. J. Barrett, W. Langdon, 2006 .

Benchmarking network propagation methods for disease gene identification

Benoit H. Dessailly, Alexandre Perera-Lluna, Alex Gutteridge, 2018, bioRxiv.

Predictors of placebo group decline in the Alzheimer's disease Assessment Scale-cognitive subscale (ADAS-Cog) in 24 week clinical trials of Alzheimer's disease.

D. Hosford, M. Irizarry, R. Lai, 2008, Journal of Alzheimer's disease : JAD.

Predicting biochemical interactions - human P450 2D6 enzyme inhibition

Bernard F. Buxton, William B. Langdon, S. J. Barrett, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

CausalR: extracting mechanistic sense from genome scale data

Glyn Bradley, Steven J. Barrett, S. Barrett, 2017, Bioinform..

Comparison of AdaBoost and Genetic Programming for Combining Neural Networks for Drug Discovery

William B. Langdon, Bernard F. Buxton, S. J. Barrett, 2003, EvoWorkshops.

Cancer risks in thiazolidinedione users compared to other anti‐diabetic agents

N. Qizilbash, C. Koro, S. Barrett, 2007, Pharmacoepidemiology and drug safety.

Data Fusion by Intelligent Classifier Combination

William B. Langdon, Bernard F. Buxton, S. J. Barrett, 2001 .