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Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes.

, , , , , , , , and . ICTAI, page 1021-1025. IEEE Computer Society, (2014)

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The Application of Gaussian Processes in the Predictions of Permeability across Mammalian Membranes., , , , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 507-514. Springer, (2012)The application of Gaussian processes in the predictions of permeability across mammalian and polydimethylsiloxane membranes., , , , , , , and . Artif. Intell. Res., 1 (2): 86-98 (2012)The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes., , , , , and . ESANN, (2010)Predicting drug absorption rates through human skin., , , , , , , and . IJCNN, page 1-5. IEEE, (2010)Feature Selection Modelling for Percutaneous Absorption across Synthetic Membranes., , , , , , , , and . ICTAI, page 1021-1025. IEEE Computer Society, (2014)The application of stochastic machine learning methods in the prediction of skin penetration., , , , , and . Appl. Soft Comput., 11 (2): 2367-2375 (2011)Using a Support Vector Machine and Sampling to Classify Compounds as Potential Transdermal Enhancers., , , , , and . ICANN (2), volume 7553 of Lecture Notes in Computer Science, page 499-506. Springer, (2012)Prediction of Skin Penetration Using Machine Learning Methods., , , , , and . ICDM, page 1049-1054. IEEE Computer Society, (2008)